>>thank you very much for this opportunity to talk about Stamp with a bio design program, which is entrepreneurship education for the medical devices. My name is Julia Key Can. Oh, I am Japanese. I have seen the United States since two doesn't want on the more than half of my life after graduating from medical school is in the United States. I hope I can contribute to make them be reached between Japan that you were saying right I did the research in the period of medical devices with a patient all over the world today is my batteries met their country finished medication stamp of the city. Yeah, North Korea academia, but also a wrong. We in the industry sectors sometimes tried to generate new product which can generate revenue from their own research outward, it is explained by three steps. The first one is the debut river, which is the harbor Wrong research output to the idea which can be product eventually. That they are hard, though, is the best body, which is a hot Arboria. From idea to commercial for the other one is that we see which is a harder to make a martial hold up to become a big are revenue generating products for the academia that passed the heart is a critical on the essential to make a research output to the idea. Yeah, they're two different kind of squash for the developing process in the health care innovation, Why's bio and by all the farmer under the other one is medical device regarding the disciplining method is maybe in mechanical engineering. Electrical engineering on the medical under surgical by Obama is mainly chemical engineering, computer science, biology and genetics. However, very important difference off these to be the innovation process. Medic is suitable on these digital innovation and by Obama, is suitable discovery process needs. Yeah, in general transformation of medical research between the aroma academia output to the commercial product in the medical field is called bench to bed. It means from basically such to critical applications. But it is your bio on the path. Yeah, translation. Medical research for medical devices is better. Bench on back to bed, which means quicker Amit needs to bench on back to Greek application. The difference off the process is the same as the difference off the commercialization. Yeah, our goal is to innovate the newer devices for patient over the war. Yeah, yeah, there are two process to do innovation. One is technology push type of innovation. The other one is news, full type of innovation. Ignore the push stop Innovation is coming from research laboratory. It is suitable for the farm on the bios. Happy type of innovation. New, useful or used driven type of type of innovation is suitable for medical devices. Either Take this topic of innovation or useful type of innovation. It is important to have Mini's. We should think about what? It's waas Yeah, in 2001 stop for the Cube, API has started to stop with Bio Design program, which is on entrepreneurship education for medical devices. Our mission is educated on empowering helps technology, no based innovators on the reading, the transition to a barrier to remain a big innovation ecosystem. Our vision is to be a global leader in advancing Hearst technology innovation to improve lives everywhere. There are three steps in our process. Off innovation, identify invent on England. Yeah, yeah. The most important step is the cluster, which is I didn't buy. I didn't buy a well characterized needs is the Vienna off a grating vision. Most of the value off medical device development is due to Iraq Obina unmet needs. So we focused in this gated by creates the most are the mosque to find on the Civic on appropriate. Yeah, our barrels on the student Hickory World in March, disparate 19 that ideally include individual, which are background in many thing engineering on business. Yeah, how to find our needs. Small team will go to the hospital or clinic or environment to offer them the healthcare providers with naive eyes. The team focused. You look to keep all the um, it needs not technology. This method is senior CTO. It's a rocket car approach which can be applied all that design, thinking the team will generate at least 200 needs from economic needs. Next stick to identify Pace is to select the best. Amit Knees were used for different aspect, which can about it the nominees. These background current existing solutions market size on the stakeholders. Once we pick up ur madness from 200 nominees, they can move to the invention pates. Finally, they can't be the solution many people tend to invent on at the beginning base without carefree evaluating its unmet knees to result in a better tend to pouring love. Their whole idea, even amid NIS, is not what this is. Why most of the medical device innovation fail due to the lack off unmet needs. To avoid this Peter Hall, our approach is identify good needs. First on invention is the sex to generate the idea wrong. Unmet knees. We will use seven Rules off race Tony B B zero before judgment encourage wild ideas built on the ideas off. Others. Go Conte. One conversation time. Stay focused on the topic. The brainstorming is like association game. Somebody's idea can stimulate the others ideas. After generating many ideas, the next step is sleeping of idea whether use five different Dustin to embody the ideas. Intellectual property regulatory. Remember National Business Model on technology How, after this election step, we can have the best solution with system it needs, and finally team will go to the implementation pace. This place is more business oriented mothers. The strategy off business implementations on the business planning. Yeah, yeah, students want more than 50 starting up are spinning off from by design program. Let me show one example This is a case of just reputations. If patient your chest pain, most of that patient go to family doctor and trust. The first are probably Dr before the patient to General Securities. General Card, obviously for the patient Director, Geologist, Director, API geologist will make a reservation. Horta uses it. Test patient will come to the clinic people for devices in machine on his chest. Well, what? Two days? Right? That patient will visit clinic to put all the whole decency After a few days off. Analysis patient Come back to Dr to hear the result Each step in his money to pay. This is a minute, Knees. This is a rough sketch off the solutions. The product name is die. A patch on it can save about $620. Part maybe outpatient right here. >>Yeah, yeah. Life is stressful. We all depend on our heart with life source of our incredible machine. The body, however, sometimes are hard Need to check up. Perhaps you felt dizzy heart racing or know someone who has had a serious heart problem The old fashioned monitors that used to get from most doctors or bulky And you can't wear them exercising or in the shower. If appropriate for you, sudden life will provide you the eye rhythm. Zero patch to buy five inch band aid like patch would. You can apply to your chest in the comfort of your own home or in the gym. It will monitor your heart rate for up to 14 days. You never have to come into a doctor's office as you mail back. Patched us shortly after you were receiving. Easy to understand report of your heart activity, along with recommendations from a heart specialists to understand the next steps in your heart. Health sudden life bringing heart monitoring to you. >>This is from the TV broadcasting become Ah, this is a core value we can stamping on his breast. He has a connotation of the decent died. Now the company names Iris is in the public market cap off. This company is more than six billion di parts is replacing grasp all or that you see the examination. However, our main product is huge. The product lifecycle Very divisive, recent being it's. But if we can educate the human decision oil because people can build with other people beyond space and yeah, young broader stop on by design education is now runs the media single on Japan. He doesn't 15 PBS probably star visited Stamp of the diversity and Bang. He announced that Japan, by design, will runs with vampires. That problem? Yeah, Japan Barzan program has started a University of Tokyo Osaka University and we've asked corroborating with Japanese government on Japanese medical device Industry s and change it to that. Yeah, this year that it's batch off Japan better than parachute on. So far more than five. Starting up as being that's all. Thank you very much for your application.

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. >>Hi! And welcome to the Cube. I'm your host, Sonia, to guard. And we're live at Stanford University covering Woods Women in Data Science Conference The fifth annual one And joining us today is Daphne Koller, who is the co founder who sorry is the CEO and founder of In Citro that Daphne. Welcome to the Cube. >>Nice to be here, Sonia. Thank you for having me. So >>tell us a little bit about in Citro how you how you got founded and more about your >>role. So I've been working in the intersection of machine learning and biology and health for quite a while, and it was always a bit of an interesting journey and that the data sets were quite small and limited. We're now in a different world where there's tools that are allowing us to create massive biological data sense that I think can help us solve really significant societal problems. And one of those problems that I think is really important is drug discovery and development, where despite many important advancements, the costs just keep going up and up and up. And the question is, can we use machine learning to solve that problem >>better? And you talk about this more in your keynote, so give us a few highlights of what you talked about. So in the last, you can think of >>drug discovery development in the last 50 to 70 years as being a bit of a glass half full glass, half empty. The glass half full is the fact that there's diseases that used to be a death sentence or of sentenced, a lifelong of pain and suffering that >>are now >>addressed by some of the modern day medicines. And I think that's absolutely amazing. The >>other side of >>it is that the cost of developing new drugs has been growing exponentially and what's come to be known as the Rooms law being the inverse of Moore's law, which is the one we're all familiar with because the number of drugs approved per 1,000,000,000 U. S. Dollars just keeps going down exponentially. So the question is, can we change that curve? >>And you talked in your keynote about the interdisciplinary culture to tell us more about that? I think in >>order to address some of the critical problems that we're facing. One needs to really build a culture of people who work together at from different disciplines, each bringing their own insights and their own ideas into the mix. So and in Citro, we actually have a company. That's half life scientists, many of whom are producing data for the purpose of driving machine learning models and the other Halford machine learning people in data scientists who are working on those. But it's not a handoff where one group produces that they then the other one consumes and interpreted. But really, they start from the very beginning to understand. What are the problems that one could solve together? How do you design the experiment? How do you build the model and how do you derive insights from that that can help us make better medicines for people? >>And, um, I also wanted to ask you the you co founded coursera, so tell us a little bit more about that platform. So I found that >>coursera as a result of work that I've been doing at Stanford, working on how technology can make education better and more accessible. This was a project that I did here, number of my colleagues as well. And at some point in the fall of 2011 there was an experiment of Let's take some of the content that we've been we've been developing within within Stanford and put it out there for people to just benefit from, and we didn't know what would happen. Would it be a few 1000 people, but within a matter of weeks with minimal advertising Other than one New York Times article that went viral, we had 100,000 people in each of those courses. And that was a moment in time where, you know, we looked at it at this and said, Can we just go back to writing more papers or is there an incredible opportunity to transform access to education to people all over the world? And so I ended up taking a what was supposed to be to really absence from Stanford to go and co found coursera, and I thought I'd go back after two years, but the But at the end of that two year period, the there was just so much more to be done and so much more impact that we could bring to people all over the world, people of both genders, people of different social economic status, every single country around the world. We just felt like this was something that I couldn't not dio. >>And how did you Why did you decide to go from an educational platform to then going into machine learning and biomedicine? >>So I've been doing Corsair for about five years in 2016 and the company was on a great trajectory. But it's primarily >>a >>a content company, and around me, machine learning was transforming the world, and I wanted to come back and be part of that. And when I looked around, I saw machine learning being applied to e commerce and the natural language and to self driving cars. But there really wasn't a lot of impact being made on the life science area. I wanted to be part of making that happen, partly because I felt like coming back to your earlier comment that in order to really have that impact, you need to have someone who speaks both languages. And while there's a new generation of researchers who are bilingual in biology and machine learning, there's still a small group in there, very few of those in kind of my age cohort and I thought that I would be able to have a real impact by bullying company in the space. >>So it sounds like your background is pretty varied. What advice would you give to women who are just starting college now who may be interested in the similar field? Would you tell them they have to major in math? Or or do you think that maybe, like there's some other majors that may be influential as well? I think >>there is a lot of ways to get into data science. Math is one of them. But there's also statistics or physics. And I would say that especially for the field that I'm currently in, which is at the intersection of machine learning data science on the one hand, and biology and health on the other one can, um, get there from biology or medicine as well. But what I think is important is not to shy away from the more mathematically oriented courses in whatever major you're in, because that foundation is a really strong one. There is ah lot of people out there who are basically lightweight consumers of data science, and they don't really understand how the methods that they're deploying, how they work and that limits thumb in their ability to advance the field and come up with new methods that are better suited, perhaps, of the problems of their tackling. So I think it's totally fine. And in fact, there's a lot of value to coming into data science from fields other than now third computer science. But I think taking courses in those fields, even while you're majoring in whatever field you're interested in, is going to make you a much better person who lives at that intersection. >>And how do you think having a technology background has helped you in in founding your companies and has helped you become a successful CEO in companies >>that are very strongly R and D, focused like like in Citro and others? Having a technical co founder is absolutely essential because it's fine to have and understanding of whatever the user needs and so on and come from the business side of it. And a lot of companies have a business co founder. But not understanding what the technology can actually do is highly limiting because you end up hallucinating. Oh, if we could only do this and that would be great. But you can't and people end up often times making ridiculous promises about what's technology will or will not do because they just don't understand where the land mines sit. And, um, and where you're going to hit reels, obstacles in the path. So I think it's really important to have a strong technical foundation in these companies. >>And that being said, Where do you see in Teacher in the future? And how do you see it solving, Say, Nash, that you talked about in your keynote. >>So we hope that in Citro will be a fully integrated drug discovery and development company that is based on a completely different foundation than a traditional pharma company where they grew up. In the old approach of that is very much a bespoke scientific um, analysis of the biology of different diseases and then going after targets are ways of dealing with the disease that are driven by human intuition. Where I think we have the opportunity to go today is to build a very data driven approach that collects massive amounts of data and then let analysis of those data really reveal new hypotheses that might not be the ones that accord with people's preconceptions of what matters and what doesn't. And so hopefully we'll be able to overtime create enough data and applying machine learning to address key bottlenecks in the drug discovery development process that we can bring better drugs to people, and we can do it faster and hopefully it much lower cost. >>That's great. And you also mention in your keynote that you think the 20 twenties is like a digital biology era, so tell us more about that. So I think if >>you look, if you take a historical perspective on science and think back, you realize that there's periods in history where one discipline has made a tremendous amount of progress in relatively short amount of time because of a new technology or a new way of looking at things in the 18 seventies, that discipline was chemistry with the understanding of the periodic table, and that you actually couldn't turn lead into gold in the 19 hundreds. That was physics with understanding the connection between matter and energy in between space and time. In the 19 fifties that was computing where silicon chips were suddenly able to perform calculations that up until that point, only people have been able to >>dio. And then in 19 nineties, >>there was an interesting bifurcation. One was three era of data, which is related to computing but also involves elements, statistics and optimization of neuroscience. And the other one was quantitative biology. In which file do you move from a descriptive signs of taxonomy izing phenomenon to really probing and measuring biology in a very detailed on high throughput way, using techniques like micro arrays that measure the activity of 20,000 genes at once, or the human genome sequencing of the human genome and many others. But >>these two fields kind of >>evolved in parallel, and what I think is coming now, 30 years later, is the convergence of those two fields into one field that I like to think of a digital biology where we are able using the tools that have and continue to be developed, measure biology, an entirely new levels of detail, of fidelity of scale. We can use the techniques of machine learning and data signs to interpret what we're seeing and then use some of the technologies that are also emerging to engineer biology to do things that it otherwise wouldn't do. And that will have implications and bio materials in energy and the environment in agriculture. And I think also in human health. And it's a incredibly exciting space toe to be in right now, because just so much is happening in the opportunities to make a difference and make the world a better place or just so large. >>That sounds awesome. Stephanie. Thank you for your insight. And thanks for being on the Cube. Thank you. I'm Sonia. Taqueria. Thanks for watching. Stay tuned for more. Okay? Great. Yeah, yeah, yeah.

>>live from Stanford University. It's the queue covering Stanford women in Data Science 2020. Brought to you by Silicon Angle Media >>and welcome to the Cube. I'm your host Sonia category, and we're live at Stanford University, covering the fifth annual Woods Women in Data Science conference. Joining us today is Tilapia Williams, who's the associate professor of mathematics at Harvey Mudd College and host of Nova Wonders at PBS to leave a welcome to the Cappy to be here. Thanks for having me. So you have a lot of rules. So let's first tell us about being an associate professor at Harvey Mudd. >>Yeah, I've been at Harvey Mudd now for 11 years, so it's been really a lot of fun in the math department, but I'm a statistician by training, so I teach a lot of courses and statistics and data science and things like that. >>Very cool. And you're also a host of API s show called Novo Wonders. >>Yeah, that came about a couple of years ago. Folks at PBS reached out they had seen my Ted talk, and they said, Hey, it looks like you could be fund host of this science documentary shows So, Nova Wonders, is a six episode Siri's. It kind of takes viewers on a journey of what the cutting edge questions and science are. Um, so I got to host the show with a couple other co host and really think about like, you know, what are what are the animals saying? And so we've got some really fun episodes to do. What's the universe made of? Was one of them what's living inside of us. That was definitely a gross win. Todo figure out all the different micro organisms that live inside our body. So, yeah, it's been funded in hopes that show as well. >>And you talk about data science and AI and all that stuff on >>Yeah. Oh, yeah, yeah, one of the episodes. Can we build a Brain was dealt with a lot of data, big data and artificial intelligence, and you know, how good can we get? How good can computers get and really sort of compared to what we see in the movies? We're a long way away from that, but it seems like you know we're getting better every year, building technology that is truly intelligent, >>and you gave a talk today about mining for your own personal data. So give us some highlights from your talk. Yeah, >>so that talks sort of stemmed out of the Ted talk that I gave on owning your body's data. And it's really challenging people to think about how they can use data that they collect about their bodies to help make better health decisions on DSO ways that you can use, like your temperature data or your heart rate. Dina. Or what is data say over time? What does it say about your body's health and really challenging the audience to get excited about looking at that data? We have so many devices that collect data automatically for us, and often we don't pause on enough to actually look at that historical data. And so that was what the talk was about today, like, here's what you can find when you actually sit down and look at that data. >>What's the most important data you think people should be collecting about themselves? >>Well, definitely not. Your weight is. I don't >>want to know what that >>is. Um, it depends, you know, I think for women who are in the fertile years of life taking your daily waking temperature can tell you when your body's fertile. When you're ovulating, it can. So that information could give women during that time period really critical information. But in general, I think it's just a matter of being aware of of how your body is changing. So for some people, maybe it's your blood pressure or your blood sugar. You have high blood pressure or high blood sugar. Those things become really critical to keep an eye on. And, um, and I really encourage people whatever data they take, too, the active in the understanding of an interpretation of the data. It's not like if you take this data, you'll be healthy radio. You live to 100. It's really a matter of challenging people to own the data that they have and get excited about understanding the data that they are taking. So >>absolutely put putting people in charge of their >>own bodies. That's >>right. >>And actually speaking about that in your Ted talk, you mentioned how you were. Your doctor told you to have a C section and you looked at the data and he said, No, I'm gonna have this baby naturally. So tell us more about that. >>Yes, you should always listen to your medical pressures. But in this case, I will say that it was It was definitely more of a dialogue. And so I wasn't just sort of trying to lean on the fact that, like, I have a PhD in statistics and I know data, he was really kind of objectively with the on call doctor at the time, looking at the data >>and talking about it. >>And this doctor was this is his first time seeing me. And so I think it would have been different had my personal midwife or my doctor been telling me that. But this person would have only looked at this one chart and was it was making a decision without thinking about my historical data. And so I tried to bring that to the conversation and say, like, let me tell you more about you know, my body and this is pregnancy number three like, here's how my body works. And I think this person in particular just wasn't really hearing any of that. It was like, Here's my advice. We just need to do this. I'm like, >>Oh, >>you know, and so is gently as possible. I tried to really share that data. Um, and then it got to the point where it was sort of like either you're gonna do what I say or you're gonna have to sign a waiver. And we were like, Well, to sign the waiver that cost quite a buzz in the hospital that day. But we came back and had a very successful labor and delivery. And so, yeah, >>I think >>that at the time, >>But, >>you know, with that caveat that you should listen to what, your doctors >>Yeah. I mean, there's really interesting, like, what's the boundary between, Like what the numbers tell you and what professional >>tells me Because I don't have an MD. Right. And so, you know, I'm cautious not to overstep that, but I felt like in that case, the doctor wasn't really even considering the data that I was bringing. Um, I was we were actually induced with our first son, but again, that was more of a conversation, more of a dialogue. Here's what's happening here is what we're concerned about and the data to really back it up. And so I felt like in that case, like Yeah, I'm happy to go with your suggestion, but I could number three. It was just like, No, this isn't really >>great. Um, so you also wrote a book called Power In Numbers. The Rebel Women of Mathematics. So what inspired you to write this book? And what do you hope readers take away from it? >>A couple different things. I remember when I saw the movie hidden figures. And, um, I spent three summers at NASA working at JPL, the Jet Propulsion Laboratory. And so I had this very fun connection toe, you know, having worked at NASA. And, um, when this movie came out and I'm sitting there watching it and I'm, like ball in just crying, like I didn't know that there were black women who worked at NASA like, before me, you know, um and so it felt it felt it was just so transformative for me to see these stories just sort of unfold. And I thought, like, Well, why didn't I learn about these women growing up? Like imagine, Had I known about Katherine Johnsons of the world? Maybe that would have really inspired Not just me, but, you know, thinking of all the women of color who aren't in mathematics or who don't see themselves working at at NASA. And so for me, the book was really a way to leave that legacy to the generation that's coming up and say, like, there have been women who've done mathematics, um, and statistics and data science for years, and they're women who are doing it now. So a lot of the about 1/3 of the book are women who were still here and, like, active in the field and doing great things. And so I really wanted to highlight sort of where we've been, where we've been, but also where we're going and the amazing women that are doing work in it. And it's very visual. So some things like, Oh my gosh, >>women in math >>It is really like a very picturesque book of showing this beautiful images of the women and their mathematics and their work. And yes, I'm really proud of it. >>That's awesome. And even though there is like greater diversity now in the tech industry, there's still very few African American women, especially who are part of this industry. So what advice would you give to those women who who feel like they don't belong. >>Yeah, well, a they really do belong. Um, and I think it's also incumbent of people in the industry to sort of recognize ways that they could be advocate for women, and especially for women of color, because often it takes someone who's already at the table to invite other people to the table. And I can't just walk up like move over, get out the way I'm here now. But really being thoughtful about who's not representative, how do we get those voices here? And so I think the onus is often mawr on. People who occupy those spaces are ready to think about how they can be more intentional in bringing diversity in other spaces >>and going back to your talk a little bit. Um uh, how how should people use their data? >>Yeah, so I mean, I think, um, the ways that we've used our data, um, have been to change our lifestyle practices. And so, for example, when I first got a Fitbit, um, it wasn't really that I was like, Oh, I have a goal. It was just like I want something to keep track of my steps And then I look at him and I feel like, Oh, gosh, I didn't even do anything today. And so I think having sort of even that baseline data gave me a place to say, Okay, let me see if I hit 10 stuff, you know, 10,000 >>steps in a day or >>and so, in some ways, having the data allows you to set goals. Some people come in knowing, like, I've got this goal. I want to hit it. But for me, it was just sort of like, um and so I think that's also how I've started to use additional data. So when I take my heart rate data or my pulse, I'm really trying to see if I can get lower than how it was before. So the push is really like, how is my exercise and my diet changing so that I can bring my resting heart rate down? And so having the data gives me a gold up, restore it, and it also gives me that historical information to see like, Oh, this is how far I've come. Like I can't stop there, you know, >>that's a great social impact. >>That's right. Yeah, absolutely. >>and, um, Do you think that so in terms of, like, a security and privacy point of view, like if you're recording all your personal data on these devices, how do you navigate that? >>Yeah, that's a tough one. I mean, because you are giving up that data privacy. Um, I usually make sure that the data that I'm allowing access to this sort of data that I wouldn't care if it got published on the cover of you know, the New York Times. Maybe I wouldn't want everyone to see what my weight is, but, um, and so in some ways, while it is my personal data, there's something that's a bit abstract from it. Like it could be anyone's data as opposed to, say, my DNA. Like I'm not going to do a DNA test. You know, I don't want my data to be mapped it out there for the world. Um, but I think that that's increasingly become a concern because people are giving access to of their information to different companies. It's not clear how companies would use that information, so if they're using my data to build a product will make a product better. You know we don't see any world from that way. We don't have the benefit of it, but they have access to our data. And so I think in terms of data, privacy and data ethics, there's a huge conversation to have around that. We're only kind >>of at the beginning of understanding what that is. Yeah, >>well, thank you so much for being on the Cube. Really having you here. Thank you. Thanks. So I'm Sonia to Gary. Thanks so much for watching the cube and stay tuned for more. Yeah, yeah, yeah.

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. >>Yeah, yeah, and welcome to the Cube. I'm your host Sonia Category and we're live at Stanford University, covering the fifth annual Woods Women in Data Science Conference. Joining us today is new Sha Ajami, who's the director of urban water policy for Stanford. You should welcome to the Cube. Thank you for having me. Absolutely. So tell us a little bit about your role. So >>I directed around water policy program at Stanford. We focused on building solutions for resilient cities to try to use data science and also the mathematical models to better understand how water use is changing and how we can build a future cities and infrastructure to address the needs of the people in the US, in California and across the world. >>That's great. And you're gonna give a talk today about how to build water security using big data. So give us a preview of your talk. >>Sure. So the 20th century water infrastructure model was very much of a >>top down model, >>so we built solutions or infrastructure to bring water to people, but people were not part of the loop. They were not the way that they behaved their decision making process. What they used, how they use it wasn't necessarily part of the process and the assume. There's enough water out there to bring water to people, and they can do whatever they want with it. So what we're trying to do is you want to change this paradigm and try to make it more bottom up at to engage people's decision making process and the uncertainty associated with that as part of the infrastructure planning process. Until I'll be talking, I'll talk a little bit about that. >>And where is the most water usage coming from? So, >>interestingly enough, in developed world, especially in the in the western United States, 50% of our water is used outdoors for grass and outdoor spacing, which we don't necessarily are dependent on. Our lives depend on it. I'll talk about the statistics and my talk, but grass is the biggest club you're going in the US while you're not really needing it for food consumption and also uses four times more water >>than than >>corn, which is which is a lot of water. And in California alone, if you just think about some of the spaces that we have grass or green spaces, we have our doors in the in. The in the malls are institutional buildings or different outdoor spaces. We have some of that water. If we can save, it can provide water for about a 1,000,000 or two million people a year. So that's a lot of water that we can be able to we can save and use, or you are actually a repurpose for needs that you really half. >>So does that also boil down to like people of watering their own lawns? Or is the problem for a much bigger grass message? >>Actually, interestingly enough, that's only 10% of that water out the water use. The rest of it is actually the residential water use, which is what you and I, the grass you and I have in our backyard and watering it so that water is even more than that amount that I mentioned. So we use a lot of water outdoors and again. Some of these green spaces are important for community building for making sure everybody has access to green spaces and people. Kids can play soccer or play outdoors, but really our individual lawns and outdoor spaces. If there are not really a native you know landscaping, it's not something that views enough to justify the amount of water you use for that purpose. >>So taking longer showers and all the stuff is very minimal compared to no, not >>at all. Sure, those are also very, very important. That's another 50% of our water. They're using that urban areas. It is important to be mindful the baby wash dishes. Maybe take shower the baby brush rt. They're not wasting water while you're doing that. And a lot of other individual decisions that we make that can impact water use on a daily basis. >>Right, So So tell us a little bit more about right now in California, We just had a dry February was the 1st 150 years, and you know, this is a huge issue for cities, agriculture and for potential wildfires. So tell us about your opinion about that. So, >>um, the 20th century's infrastructure model I mentioned at the beginning One of the flaws in that system is that it assumes that we will have enough snow in the mountains that would melt during the spring and summer time and would provide us water. The problem is, climate change has really, really impacted that assumption, and now you're not getting as much snow, which is comes back to the fact that this February we have not received any snow. We're still in the winter and we have spring weather and we don't really have much snow on the mountain. Which means that's going to impact the amount of water we have for summer and spring time this year. We had a great last year. We got enough water in our reservoirs, which means that you can potentially make it through. But then you have consecutive years that are dry and they don't receive a lot of water precipitation in form of snow or rain. That will become a very problematic issue to meet future water demands in California. >>And do you think this issue is along with not having enough rainfall, but also about how we store water, or do you think there should be a change in that policy? >>Sure, I think that it definitely has something also in the way we store water and be definitely you're in the 21st century. We have different problems and challenges. It's good to think about alternative ways off a storing water, including using groundwater sources. Groundwater as a way off, storing excess water or moving water around faster and making sure we use every drop of water that falls on the ground and also protecting our water supplies from contamination or pollution. >>And you see it's ever going to desalination or to get clean water. So, interestingly >>enough, I think desalination definitely has worth in other parts of the world, and then they have. Then you have smaller population or you have already tapped out of all the other options that are available to you. Desalination is expensive. Solution costs a lot of money to build this infrastructure and also again depends on you know, this centralized approach that we will build something and provide resources to people from from that location. So it's very costly to build this kind of solutions. I think for for California we still have plenty of water that we can save and repurpose, I would say, and also we still can do recycling and reuse. We can capture our stone water and reuse it, so there's so many other, cheaper, more accessible options available before you go ahead and build a desalination plants >>and you're gonna be talking about sustainable water resource management. So tell us a little bit more about that, too. So the thing with >>water mismanagement and occasionally I use also the word like building resilient water. Future is all about diversifying our water supply and being mindful of how they use our water, every drop of water that use its degraded on. It needs to be cleaned up and put back in the environment, so it always starts from the bottom. The more you save, the less impact you have on the environment. The second thing is you want to make sure every trouble wanted have used. We can use it as many times possible and not make it not not. Take it, use it, lose its right away, but actually be able to use it multiple times for different purposes. Another point that's very important, as actually majority of the water they've used on a daily basis is it doesn't need to be extremely clean drinking water quality. For example, if you tell someone that you're flushing down our toilets. Drinkable water would surprise you that we would spend this much time and resources and money and energy to clean that water to flush it down the toilet video using it. So So basically rethinking the way we built this infrastructure model is very important, being able to tailor water to the needs that we have and also being mindful of Have you use that resource? >>So is your research focus mainly on California or the local community? We actually >>are solutions that we built on our California focus. Actually, we try to build solutions that can be easily applied to different places. Having said that, because you're working from the bottom up, wavy approach water from the bottom up, you need to have a local collaboration and local perspective to bring to their to this picture on. A lot of our collaborators have been so far in California, we have had data from them. We were able to sort of demonstrate some of the assumptions we had in California. But we work actually all over the world. We have collaborators in Europe in Asia and they're all trying to do the same thing that we dio on. You're trying to sort of collaborate with them on some of the projects in other parts of the world. >>That's awesome. So going forward, what do you hope to see with sustainable water management? So, to >>be honest with you, I would often we think about technology as a way that would solve all our problems and move us out of the challenges we have. I would say technology is great, but we need to really rethink the way we manager resource is on the institutions that we have on there. We manage our data and information that we have. And I really hope that became revolutionized that part of the water sector and disrupt that part because as we disrupt this institutional part >>on the >>system, provide more system level thinking to the water sector, I'm hoping that that would change the way we manage our water and then actually opens up space for some of these technologies to come into play as >>we go forward. That's awesome. So before we leave here, you're originally from Tehran. Um and and now you're in this data science industry. What would you say to a kid who's abroad, who wants to maybe move here and have a career in data science? >>I would say Study hard, Don't let anything to disk or do you know we're all equal? Our brains are all made the same way. Doesn't matter what's on the surface. So, um so I and encourage all the girls study hard and not get discouraged and fail as many times as you can, because failing is an opportunity to become more resilient and learn how to grow. And, um and I have, and I really hope to see more girls and women in this in these engineering and stem fields, to be more active on, become more prominent. >>Have you seen a large growth within the past few years? Definitely, >>the conversation is definitely there, and there are a lot more women, and I love how Margot and her team are sort of trying to highlight the number of people who are out there. And working on these issues because that demonstrates that the field wasn't necessarily empty was just not not highlighted as much. So for sure, it's very encouraging to see how much growth you have seen over the years for sure >>you shed. Thank you so much. It's really inspiring all the work you do. Thank you for having me. So no, Absolutely nice to meet you. I'm Senator Gary. Thanks for watching the Cube and stay tuned for more. Yeah, yeah, yeah.

>> Reporter: Live from Stanford University, it's theCUBE, covering Stanford Women in Data Science 2020. Brought to you by SiliconANGLE media. >> Hi, and welcome to theCUBE. I'm your host, Sonia Tagare, and we're live at Stanford University covering the fifth annual WiDs, Women in Data Science conference. Joining us today is Emily Glassberg Sands, the Head of Data Science at Coursera, Emily, welcome to theCUBE. >> Thanks, so great to be on. >> So, tell us a little bit more about what you do at Coursera. >> Yeah, absolutely, so Coursera is the world's largest platform for higher education. We partner with about 160 universities and 20 industry partners and we provide top learning content from data science to child nutrition to about 50 million learners around the world. I lead the end to end data team so spanning data engineering, data science and machine learning. >> Wow, and we just had Daphne Koller on earlier this morning who is the co-founder of Coursera and she's also the one who hired you. >> Yeah. >> So tell us more about that relationship. >> Well, I love Daphne, I think the world of her, as I will talk about shortly, she actually didn't hire me from the start. The first answer I got one from Coursera was a no, that the company wasn't quite ready for someone who wasn't a full blown coder. But I eventually talked to her into bringing me on board, and she's been an inspiration ever since. I think one of my first memories of Daphne was when she was painting the vision of what's possible with online education, and she said, "think about the first movie." The first movie was literally just filming a play on stage. You'll appreciate this, given your background in film, and then fast forward to today and think about what's possible in movies that could never be possible on the brick-and-mortar stage. And the analog she was creating was the first MOOC, the first Massive Open Online Course was very simply filming a professor in a classroom. But she was thinking forward to today and tomorrow and five years from now, and what's possible in terms of how data and technology can transform, how educators teach and how learners learn. >> That's very cool. So, how has Coursera changed from when she started it to now? >> So, it's evolved a lot. So, I've been at Coursera about six years, when I joined the company, it had less than 50 people. Today we're 10 times that size, we have 500. I think there have been obviously dramatic growth in the platform over all the three main changes to our business model. The first is we've moved from partnering exclusively with universities to recognizing that actually, a lot of the most important education for folks in the labor market is being taught within companies. So, Google is super incentivized to train people in Google Cloud, Amazon and AWS. Folks need to learn Tableau and a whole host of other software's. So, we've expanded to including education that's provided not just by top institutions like Stanford, but also by top institutions that are companies like Amazon and Google. The second big change is we've recognized that while for many learners and individual course or a MOOC is sufficient, some learners need access to full degree, a diploma bearing credential. So we've moved to the degree space we now have 14 degrees live on the platform masters in computer science and data science but also in business, accounting, and so on. And the third major changes, I think just sort of as the world has evolved to recognize that folks need to be learning throughout their lives. There's also general consensus that it's not just on the individuals to learn, but also on their companies to train them and governments as well, and so we launched Coursera enterprise, which is about providing learning content through employers and through governments so we can reach a wider swath of individuals who might not be able to afford it themselves. >> And how are you able to use data science to track individual, user preferences and user behavior? >> Yeah, that's a great question so you can imagine right? 50 million learners, they're from almost every country in the world from a range of different backgrounds have a bunch of different goals, And so I think what you're getting out is that so much of creating the right learning experience for each person is about personalizing that experience. And we personalized throughout the learner journey so in discovery up-front, when you first joined the platform, we ask you, what's your career goal? What role are you in today? And then we help you find the right content to close the gap. As you're moving through courses we predict whether or not you need some additional support. Whether it's a fully automated intervention like a behavioral nudge, emphasizing growth mindset, or a pedagogical nudge like recommending the right review material and provide it to you, and then we also do the same to accelerate support staff on campus. So, we identify for each individual what type of human touch might they need, and we serve up to support staff recommendations for who they should reach out to, whether it's a counselor reaching out to degree student who hasn't logged in for a while, or a TA reaching out to a degree student who's struggling with an assignment. So, data really powers all of that, understanding someone's goals, their backgrounds, the content that's going to close the gap, as well as understanding where they need additional support and what type of help we can provide. >> And how are you able to track this data, are you using AV testing? >> Yeah, great question, so the, we call it a venting level data, which basically tracks what every learner is doing as they're moving through the platform. And then we use AV testing to understand the influence of kind of our big feature. So, say we roll out a new search ranking algorithm or a new learning experience we would AV-Test that, yes to understand how learners in the new variant compared to learners in the old variant. But for many of our machine learn systems, we're actually doing more of a multi-armed bandit approach where on the margin, we're changing a little bit the experience people have to understand what effect that has on their downstream behavior, separate from this mass hold-in or hold-out AV-Test. >> And so today, you're giving a talk about Coursera's latest data products so give us a little insight about that. >> So, I'm covering three data products that we've launched over the last couple of years. The first two are oriented around really helping learners be successful in the learning experience. So the first is predicting when learners are going to need additional nudges and intervening in fully automated ways to get them back on track. The second is about identifying learners who need human support and serving up really easily interpretable insights to support staff so they can reach out to the right learner with the right help. And then the third is a little bit different. It's about once learners are out in the labor market, how can they credibly signal what they know, so that they can be rewarded for that learning on the job. And this is a product called skill scoring, where we're actually measuring what skills each learner has up to what level so I can for example, compare that to the skills required in my target career or show it to my employer so I can be rewarded for what I know. >> That can be really helpful when people are creating resumes, by ranking how much of a skill that they have. >> Absolutely. So, it's really interesting when you talk about resumes, so many of what, so much of what's shown on resumes are traditional credentials, things like What school did you go to? what did you major in? what jobs have you had? And as you and I both know, there's unequal access to the school you go to or the early jobs you get. And so, part of the motivation behind skill scoring is to create more equitable or fair or accessible signals for the labor market. So, we're really excited about that direction. >> And do you think companies are taking that into consideration when they're hiring people who say have like a five out of five skills in computer science, but they didn't go to Stanford? >> Yeah. >> Think they're taking that >> Absolutely, I think companies are hungry to find more diverse talent and the biggest challenge is, when you look at people from diverse backgrounds, it's hard to know who has what skills. And so skill scoring provides a really valuable input, we're actually seeing it in use already by many of our enterprise customers who are using it to identify who have their internal employees is well positioned for new opportunities or new roles. For example, I may have a bunch of backend engineers, if I know who's good in math and machine learning and statistics, I can actually tap those folks to transition over to machine learning roles. And so it's used both as an external signal and external labor market, as well as an internal signal within companies. >> And just our last question here, what advice would you give to young women who are either out of college or just starting college who are interested in data science? Who maybe, don't haven't majored in a typical data science major? What advice would you give to them? >> So, I love that you asked you haven't made it, majored in a typical data science major. I'm actually an economist by training. And I think that's probably the reason why I was at first rejected from Coursera because an economist is a very strange background to go into data science. I think my primary advice to those young women would be to really not get too lost in the data science, in the math, in the algorithms and instead to remember that those are a means to an end, and the end is impact. So, think about the problems in the world that you care about. For me, it's education. For others, it's health care, or personal finance or a range of other issues. And remember that data science provides this vast set of tools that you can use to solve the problems you care about most. >> That's great, thank you so much for being on theCUBE. >> Thank you. I'm Sonia Tagare, thank you so much for watching theCUBE and stay tuned for more. (upbeat music)

>> Narrator: Live from Stanford University, it's theCUBE! Covering Stanford Women in Data Science 2020, brought to you by SiliconAngle Media. >> Hi, and welcome to the cube, I'm your host, Sonia Tagare. And we're live at Stanford University, covering the fifth annual WiDS, Women in Data Science Conference. Joining us today is Ya XU, the head of data science at LinkedIn. Ya Welcome to the cube. >> Thank you for having me. >> So tell us a little bit about your role and about LinkedIn. >> So LinkedIn is, first of all, the biggest professional social network, where we have a massive economic graph that we have been creating with millions actually close to 700 million members and millions of companies and jobs and of course, you know, with students of skills and also schools as well as part of it. And, and I lead the data science team at LinkedIn. And my team really spans across the global presence that LinkedIn offices have. And yeah really working on various different areas. That's both thinking about how we can iterate and understand and improve our products, that we deliver to our members and our customers. And also at the same time thinking about how we can make our infrast6ructure more efficient, and thinking about how we can make our sales and marketing more efficient as well, so we really span across. >> And how has the use of data science evolved to deliver a better user experience for users of LinkedIn? >> Yeah, so first of all, I think we LinkedIn in general, we truly believe that everybody can benefit from better data, better data access, in general. So we're certainly using data to continuously understand better of what our members are looking for. As a simple example, is that whenever we launch new feature, we're not just  blindly deciding ourselves what is the better feature for our members, but we actually understand how our users are reacting to it. Right? So we use data to understand that, and then certainly making decisions, and whether we should be eventually launching this feature to all members or not. So that's a very prominent way for us to use data. And obviously, we also use data to understand and just even before we build certain features. Is this sort of feature that's right feature to build. We do both survey and understand the survey data, but also at the same time understanding just user behavior data for us to be able to come up with better features for users. >> And do you use AB testing as well? >> Oh absolutely, Yeah. So we do a lot of AV experiments. That's what, I was not trying to use that word by that like that terminology, but this is what we use to have an understanding of user features that we are developing, that we are putting in front of our users. Is that what they enjoy as much as we think they will enjoy? >> Right, so you had a talk today about creating global economic opportunities with responsible data. So give us some highlights from your talk. >> So, first of all, at LinkedIn we we truly believe in the vision that we are working towards, which is really creating economic opportunity for every member of the global workforce. And if you're kind of starting from that, and thinking about that is our sort of the axiom that we're working towards, and then thinking about how you can do that, and obviously, the sort of the table stake or just the fundamental thing that we have to start with is to be able to preserve the privacy of our members as we are leveraging the data that our members entrust with us. Right, so how can we do that? We have some early effort in using and developing differential privacy as a technique for us to do a lot better. Always regarding preserving their privacy as we're leveraging the data, but also at the same time, it doesn't ends there, right? Because you're thinking about creating opportunity. It's not just about to preserve their privacy, but also, when we are leveraging the data, how can we leverage the data in a way that is able to create opportunity in a fair way? So here is also a lot of effort that we're having with regarding, how can we do that? And what does fairest mean? What are the ways we can actually turn some of the key concepts that we have into action that is really able to drive the way we develop product, the way that we think about responsible design, and the way that we build our algorithms, the way that we measure in every single dimension. >> And and speaking about that bias, at the opening address, they mentioned that diversity is really great because it provides many perspectives, and also helps reduce this bias. So how have you at LinkedIn been able to create a more diverse team? >> So first of all, I think it's certain we all believe that diversity is certainly better as we building product. Thinking about if you have a diverse team that is really a representation of the customer and some members that you're serving, then definitely you're able to come up with better features that is able to serve the needs of the population of our members. But also at the same time, that's just the right thing to do as well. Right, thinking about we all have had experiences we may not you know, feel as much belonging when we walk into a room that we are the only person that we identify with to be in that room. And, we certainly wanted to be able to create that environment for all the employees as well. And and thinking about, I think there is also studies that has done as what makes a high performing team. Some of the studies has done I google with the psychological safety aspects of it, which is really there's a lot of brain science that says when you make people feel they belong, that they will actually be so much more creative and innovative and everything right. So we have that belief. But tactically, there are many things that we're doing from all the divs aspect, right? How can you bring diversity, inclusion and belonging? Starting from and hiring, right? So we certainly are very much emphasized how can we increase the diversity of individuals that we're bringing to LinkedIn? And when they are at LinkedIn, can we make them feel more belonging, and feel more included in every aspects? We have different inclusion groups, right? We have I mean, obviously, I'm very much involved in Women tech. At LinkedIn we have both money efforts that we do to help women at LinkedIn in engineering, and in other groups as well to feel they belong to this community. At the same time, there is concrete actions that we're taking too. Right, that we are helping women to have a much better understanding, and aware of some of the ways that we operate that is slightly different from maybe our male colleagues will operate, right? There are certain things that we're doing to change the current processes, hiring processes, promotion process, that we are able to bring more equal footing to the way that we're thinking about gender gap and gender diversity. >> Right, that's great. And what advice would you give to women who are just starting college or who are just out of college who are interested in going into data science. >> So I want to say the biggest learning for me, is just have that can do attitude. I, you know, the woman biologically and all just like in every way, we're not any less than men. And that you certainly have seen many strong and very talented women that we have in the field. So don't let people's perceptions or biases around you to bring you down. And then thinking about what you wanted, and then just go for it, and then go for the the advice that you can get from people. And then there are so many as you can see in the conference today, so many talented women that you can reach out to who are winning and very willing to help you as well. >> And in this age of AI and ML, where do you see data science going in the future? >> That's a really interesting question. So in the way that, you know, data science I want to say is a field that is really broad, right? So if you're thinking about things that I would consider to be part of data science may not necessarily part of AI, but some of the course of influence that is extremely popular and important. And then I think the fields will continue to evolve, there are going to be and then the fields are continually overlapping with each other as well. You cannot do data science without understanding or have a strong skill in AI and machine learning. And you also can't do great machine learning without understanding the data science either. Right? So thinking about some of the talk that definitely colder earlier was sharing, as in you know, you can blind in the wrong algorithm and without realizing the bias. That all the algorithm is really just detecting the machines that's using the images versus you know, actually detecting the difference between broken bones or not right, like so. So I think having, I do see there is a continuously big overlap and I think the individuals who are involved in both communities should continue to be very comfortable being in that way too. >> Right, great. Thank you so much for being on theCUBE and thank you for your insight. >> Of course, thank you for having me. >> I'm your host, Sonia Takari. Thank you for watching theCUBE and stay tuned for more. (Upbeat music)

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. Yeah. >>Hi. And welcome to the Cube. I'm your host Sonia Category. And we're live at Stanford University for the fifth annual Woods Women in Data Science Conference. Joining us today is none. Ho, the director of data Science at Intuit None. Welcome to the Cube. >>Thank you for having me here, so yeah, >>so tell us a little bit about your role at Intuit. So I leave the >>applied Machine Learning teams for our QuickBooks product lines and also for our customer success organization within my team. We do applied machine learning. So what? We specialize in building machine learning products and delivering them into our products for >>our users. Great. Today. Today you're giving a talk. You talked about how organizations want to achieve greater flexibility, speed and cost efficiencies on. And you're giving it a technical vision. Talk today about data science in the cloud world. So what should data scientists know about data science in a cloud world? >>Well, I'll just give you a little bit of a preview into my talk later because I don't want to spoil anything. Yeah, but I think one of the most important things being a data scientist in a cloud world is that you have to fundamentally change the way you work a lot of a start on our laptops or a server and do our work. But when you move to the cloud, it's like all bets are off. All the limiters are off. And so how do you fully take advantage of that? How do you change your workflow? What are some of the things that are available to you that you may not know about? And in addition to that, some some things that you have to rewire in your brain to operate in this new environment. And I'm going to share some experiences that I learned firsthand and also from my team in into its cloud migration over the past six years. >>That's great. Excited to hear that on DSO you were getting into it into it has sponsored Woods for many years now. Last year we spoke with could be the San Juan from Intuit. So tell us about this Intuit's sponsorship. Yeah, >>so into it. We are a champion of gender diversity and also all sorts of diversity. And when we first learned about which we said, We need to be a champion of the women in data science conference because for me personally, often times when I'm in a room, um, going over technical details I'm often the only woman and not just I'm often the only woman executive and so part of the sponsorship is to create this community of women, very technical women in this field, to share our work together to build this community and also to show the great diversity of work that's going on across the field of data science. >>And so Intuit has always been really great for embracing diversity. Tell us a little bit about about bad experience, about being part of Intuit and also about the tech women part. Yeah, >>so one of the things that into it that I really appreciate is we have employees groups around specific interests, and one of those employees groups is tech women at Intuit and Tech women at Intuit. The goal is to create a community of women who can provide coaching, mentorship, technical development, leadership development and I think one of the unique things about it is that it's not just focused on the technical development side, but on helping women develop into leadership positions. For me, When I first started out, there were very few women in executive positions in our field and data science is a brand new field, and so it takes time to get there. Now that I'm on the other side, one of the things that I want to do is be able to give back and coach the next generation. And so the tech women at Intuit Group allows me to do that through a very strong mentorship program that matches me and early career mentees across multiple different fields so that I can provide that coaching in that leadership development >>and speaking about like diversity. In the opening address, we heard that diversity creates perspectives, and it also takes away bias. So why gender diversity is so important into it, and how does it help take away that bias? Yeah, >>so one of the important things that I think a lot of people don't realize is when you go and you build your products, you bring in a lot of biases and how you build the product and ultimately the people who use your products are the general population for us. We serve consumer, small businesses and self employed. And if you take a look at the diversity of our customers, it mirrors the general population. And so when you think about building products, you need to bring in those diverse perspectives so you could build the best products possible because of people who are using those products come from a diverse background as well, >>right? And so now at Intuit like instead of going from a desktop based application, we're at a cloud based application, which is a big part of your talk. How do you use data Teoh for a B testing and why is it important? >>Yeah, a B testing That is a personal passion of mine, actually, because as a scientist, what we like to do is run a lot of experiments and say, Okay, what is the best thing out there so that ultimately, when you ship a new product or feature, you send the best thing possible that's verified by data, and you know exactly how users are going to react to it. When we were on desktop, they made it incredibly difficult because those were back in the days. And I don't know if you remember those put back in the days when you had a floppy disk, right or even a CD ROM's. That's how we shipped our products. And so all the changes that you wanted to make had to be contained. In the end, you really only ship it once per year. So if there's any type of testing that we did, we're bringing our users and have them use our products a little bit and then say Okay, we know exactly what we need to dio ship that out. So you only get one chance now that we're in the cloud. What that allows us to do is to test continuously via a B, testing every new feature that comes out. We have a champion Challenger model, and we can say Okay, the new version that we're shipping out is this much better than the previous one. We know it performs in this way, and then we got to make the decision. Is this the best thing to do for a customer? And so you turn what was once a one time process, a one time change management process. So one that's distributed throughout the entire year and at any one time we're running hundreds of tests to make sure that we're shipping exactly the best things for our customers. >>That's awesome. Um, so, um, what advice would you give to the next generation of women who are interested in stem but maybe feel like, Oh, I might be the only woman. I don't know if I should do this. Yeah, I think that the biggest >>thing for me was finding men's ownership, and initially, when I was very early career and even when I was doing my graduate studies for me, a mentor with someone who was in my field. But when I first joined into it, an executive in another group who is a female, said, Hey, I'd like to take your side, provide you some feedback, and this is some coaching I want to give you, And that was when I realized you don't actually need to have that person be in your field to actually guide you through to the next up. And so, for women who are going through their journey and early on, I recommend finding a mentor who is at a stage where you want to go, regardless of which field there in, because everybody has diverse perspectives and things that they can teach you as you go along. >>And how do you think Woods is helping women feel like they can do data science and be a part of the community? Yeah, I think >>what you'll see in the program today is a huge diversity of our speakers, our Panelists through all different stages of their career and all different fields. And so what we get to see is not only the time baseline of women who are in their PhDs all the way to very, very well established women. The provost of Stanford University was here today, which is amazing to see someone at the very top of the career who's been around the block. But the other thing is also the diversity and fields. When you think about data science, a lot of us think about just the tech industry. But you see it in healthcare. You see it in academia and there's a scene that wide diversity of where data science and where women who are practicing data science come from. I think it's really empowering because you can see yourself in the representation does matter quite a bit. >>Absolutely. And where do you see data science going forward? >>Oh, that is a, uh, tough and interesting question, actually. And I think that in the current environment today, we could talk about where it could go wrong or where it could actually open the doors. And for me, I'm an eternal optimist on one of the things that I think is really, really exciting for the future is we're getting to a stage where we're building models, not just for the general population. We have enough data and we have enough compute where we can build a model. Taylor just for you, for all of your life's on for me. I think that that is really, really powerful because we can build exactly the right solution to help our customers and our users succeed. Specifically, me working in the personal friend, Small business finance lease. That means I can hope that cupcake shop owner actually manage her cash flow and help her succeed to me that I think that's really powerful. And that's where data science is headed. >>None. Thank you so much for being on the Cube and thank you for your insight. Thank you so much. I'm so sorry. Thanks for watching the Cube. Stay tuned for more. Yeah, Yeah, yeah, yeah, yeah, yeah.

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. >>Yeah, yeah. Hi. And welcome to the Cube. I'm your host, Sonia Atari. And we're live at Stanford University, covering the fifth annual Woods Women in Data Science Conference. Joining us today is Lillian Kearse. Keo, who's the Insights manager at Spotify. Slowly and welcome to the Cube. Thank you so much for having me. So tell us a little bit about your role at a Spotify. >>Yeah, So I'm actually one of the few insights managers in the personalization team. Um, and within my little group, we think about data and algorithms that help power the larger personalization experiences throughout Spotify. So, from your limits to discover weekly to your year and wrap stories to your experience on home and the search results, that's >>awesome. Can you tell us a little bit more about the personalization? Um, team? >>Yes. We actually have a variety of different product areas that come together to form the personalization mission, which is the mission is like the term that we use for a big department at Spotify, and we collaborate across different product areas to understand what are the foundational data sets and the foundational machine learning tools that are needed to be able to create features that a user can actually experience in the app? >>Great. Um, and so you're going to be on the career panel today? How do you feel about that? I'm >>really excited. Yeah, Yeah, the would seem is in a great job of bringing together Diverse is very, uh, it's overused term. Sometimes they're a very diverse group of people with lots of different types of experiences, which I think is core. So how I think about data science, it's a wide definition. And so I think it's great to show younger and mid career women all of the different career paths that we can all take. >>And what advice would you would you give to? Women were coming out of college right now about data science. >>Yeah, so my my big advice is to follow your interests. So there's so many different types of data science problems. You don't have to just go into a title that says data scientists or a team that says Data scientist, You can follow your interest into your data science. Use your data science skills in ways that might require a lot of collaboration or mixed methods, or work within a team where there are different types of different different types of expertise coming together to work on problems. >>And speaking of mixed methods, insights is a team that's a mixed methods research groups. So tell us more about that. Yes, I >>personally manage a data scientist, Um, user researcher and the three of us collaborate highly together across their disciplines. We also collaborate across research science, the research science team right into the product and engineering teams that are actually delivering the different products that users get to see. So it's highly collaborative, and the idea is to understand the problem. Space deeply together, be able to understand. What is it that we're trying to even just form in our head is like the need that a user work and human and user human has, um, in bringing in research from research scientists and the product side to be able to understand those needs and then actually have insights that another human, you know, a product owner you can really think through and understand the current space and like the product opportunities >>and to understand that user insight do use a B testing. >>We use a lot of >>a B testing, so that's core to how we think about our users at Spotify. So we use a lot of a B testing. We do a lot of offline experiments to understand the potential consequences or impact that certain interventions can have. But I think a B testing, you know, there's so much to learn about best practices there and where you're talking about a team that does foundational data and foundational features. You also have to think about unintended or second order effects of algorithmic a B test. So it's been just like a huge area of learning in a huge area of just very interesting outcomes. And like every test that we run, we learn a lot about not just the individual thing. We're testing with just the process overall. >>And, um, what are some features of Spotify that customers really love anything? Anything >>that's like we know use a daily mix people absolutely love every time that I make a new friend and I saw them what they work on there like I was just listening to my daily makes this morning discover weekly for people who really want >>to stay, >>you know, open to new music is also very popular. But I think the one that really takes it is any of the end of year wrapped campaigns that we have just the nostalgia that people have, even just for the last year. But in 2019 we were actually able to do 10 years, and that amount of nostalgia just went through the roof like people were just like, Oh my goodness, you captured the time that I broke up with that, you >>know, the 1st 5 years ago, or just like when I discovered that I love Taylor Swift, even though I didn't think I like their or something like that, you know? >>Are there any surprises or interesting stories that you have about, um, interesting user experiences? Yeah. >>I mean, I could give I >>can give you an example from my experience. So recently, A few a few months ago, I was scrolling through my home feed, and I noticed that one of the highly rated things for me was women in >>country, and I was like, Oh, that's kind of weird. I don't consider >>myself a country fan, right? And I was like having this moment where I went through this path of Wait, That's weird. Why would Why would this recommend? Why would the home screen recommend women in country, country music to me? And then when I click through it, um, it would show you a little bit of information about it because it had, you know, Dolly Parton. It had Margo Price and it had the high women and those were all artistes. And I've been listening to a lot, but I just had not formed an identity as a country music. And then I click through It was like, Oh, this is a great play list and I listen to it and it got me to the point where I was realizing I really actually do like country music when the stories were centered around women, that it was really fun to discover other artists that I wouldn't have otherwise jumped into as well. Based on the fact that I love the story writing and the song, writing these other country acts that >>so quickly discovered that so you have a degree in industrial mathematics, went to a liberal arts college on purpose because you want to try out different classes. So how is that diversity of education really helped >>you in your Yes, in my undergrad is from Smith College, which is a liberal arts school, very strong liberal arts foundation. And when I went to visit, one of the math professors that I met told me that he, you know, he considers studying math, not just to make you better at math, but that it makes you a better thinker. And you can take in much more information and sort of question assumptions and try to build a foundation for what? The problem that you're trying to think through is. And I just found that extremely interesting. And I also, you know, I haven't undeclared major in Latin American studies, and I studied like neuroscience and quantum physics for non experts and film class and all of these other things that I don't know if I would have had the same opportunity at a more technical school, and I just found it really challenging and satisfying to be able to push myself to think in different ways. I even took a poetry writing class I did not write good poetry, but the experience really stuck with me because it was about pushing myself outside of my own boundaries. >>And would you recommend having this kind of like diverse education to young women now who are looking >>and I absolutely love it? I mean, I think, you know, there's some people believe that instead of thinking about steam, we should be talking instead of thinking about stem. Rather, we should be talking about steam, which adds the arts education in there, and liberal arts is one of them. And I think that now, in these conversations that we have about biases in data and ML and AI and understanding, fairness and accountability, accountability bitterly, it's a hardware. Apparently, I think that a strong, uh, cross disciplinary collaborative and even on an individual level, cross disciplinary education is really the only way that we're gonna be able to make those connections to understand what kind of second order effects for having based on the decisions of parameters for a model. In a local sense, we're optimizing and doing a great job. But what are the global consequences of those decisions? And I think that that kind of interdisciplinary approach to education as an individual and collaboration as a team is really the only way. >>And speaking about bias. Earlier, we heard that diversity is great because it brings out new perspectives, and it also helps to reduce that unfair bias. So how it Spotify have you managed? Or has Spotify managed to create a more diverse team? >>Yeah, so I mean, it starts with recruiting. It starts with what kind of messaging we put out there, and there's a great team that thinks about that exclusively. And they're really pushing all of us as managers. As I seizes leaders to really think about the decisions in the way that we talk about things and all of these micro decisions that we make and how that creates an inclusive environments, it's not just about diversity. It's also about making people feel like this is where they should be. On a personal level, you know, I talk a lot with younger folks and people who are trying to just figure out what their place is in technology, whether it be because they come from a different culture, >>there are, >>you know, they might be gender, non binary. They might be women who feel like there is in a place for them. It's really about, You know, the things that I think about is because you're different. Your voice is needed even more. You know, like your voice matters and we need to figure out. And I always ask, How can I highlight your voice more? You know, how can I help? I have a tiny, tiny bit of power and influence. You know, more than some other folks. How can I help other people acquire that as well? >>Lilian, thank you so much for your insight. Thank you for being on the Cube. Thank you. I'm your host, Sonia today. Ari. Thank you for watching and stay tuned for more. Yeah, yeah.

>> Announcer: Live from Stanford University. It's theCUBE, covering Stanford Women in Data Science 2020, brought to you by SiliconANGLE Media. (upbeat music) >> Hi, and welcome to theCUBE. I'm your host, Sonia Tagare. And we're live at Stanford University covering the fifth annual WiDS Women in Data Science Conference. Joining us today is Lucy Bernholz, who is the Senior Research Scholar at Stanford University. Lucy, welcome to theCUBE. >> Thanks for having me. >> So you've led the Digital Civil Society Lab at Stanford for the past 11 years. So tell us more about that. >> Sure, so the Digital Civil Society Lab actually exists because we don't think digital civil society exists. So let me take that apart for you. Civil society is that weird third space outside of markets and outside of government. So it's where we associate together, it's where we as people get together and do things that help other people could be the nonprofit sector, it might be political action, it might be the eight of us just getting together and cleaning up a park or protesting something we don't like. So that's civil society. But what's happened over the last 30 years really is that everything we use to do that work has become dependent on digital systems and those digital systems, some tier, I'm talking gadgets, from our phones, to the infrastructure over which data is exchanged. That entire digital system is built by companies and surveilled by governments. So where do we as people get to go digitally? Where we could have a private conversation to say, "Hey, let's go meet downtown and protest x and y, or let's get together and create an alternative educational opportunity 'cause we feel our kids are being overlooked, whatever." All of that information that get exchanged, all of that associating that we might do in the digital world, it's all being watched. It's all being captured (laughs). And that's a problem because both history and political science, history and democracy theory show us that when there's no space for people to get together voluntarily, take collective action, and do that kind of thinking and planning and communicating it just between the people they want involved in that when that space no longer exists, democracies fall. So the lab exists to try to recreate that space. And in order to do that, we have to first of all recognize that it's being closed in. Secondly, we have to make real technological process, we need a whole set of different kind of different digital devices and norms. We need different kinds of organizations, and we need different laws. So that's what the lab does. >> And how does ethics play into that. >> It's all about ethics. And it's a word I try to avoid actually, because especially in the tech industry, I'll be completely blunt here. It's an empty term. It means nothing the companies are using it to avoid being regulated. People are trying to talk about ethics, but they don't want to talk about values. But you can't do that. Ethics is a code of practice built on a set of articulated values. And if you don't want to talk about values, you don't really having conversation about ethics, you're not having a conversation about the choices you're going to make in a difficult situation. You're not having a conversation over whether one life is worth 5000 lives or everybody's lives are equal. Or if you should shift the playing field to account for the millennia of systemic and structural biases that have been built into our system. There's no conversation about ethics, if you're not talking about that thing and those things. As long as we're just talking about ethics, we're not talking about anything. >> And you were actually on the ethics panel just now. So tell us a little bit about what you guys talked about and what were some highlights. >> So I think one of the key things about the ethics panel here at WiDS this morning was that first of all started the day, which is a good sign. It shouldn't be a separate topic of discussion. We need this conversation about values about what we're trying to build for, who we're trying to protect, how we're trying to recognize individual human agency that has to be built in throughout data science. So it's a good start to have a panel about it, the beginning of the conference, but I'm hopeful that the rest of the conversation will not leave it behind. We talked about the fact that just as civil society is now dependent on these digital systems that it doesn't control. Data scientists are building data sets and algorithmic forms of analysis, that are both of those two things are just coated sets of values. And if you try to have a conversation about that, at just the math level, you're going to miss the social level, you're going to miss the fact that that's humanity you're talking about. So it needs to really be integrated throughout the process. Talking about the values of what you're manipulating, and the values of the world that you're releasing these tools into. >> And what are some key issues today regarding ethics and data science? And what are some solutions? >> So I mean, this is the Women and Data Science Conference that happens because five years ago or whenever it was, the organizers realize, "Hey, women are really underrepresented in data science and maybe we should do something about that." That's true across the board. It's great to see hundreds of women here and around the world participating in the live stream, right? But as women, we need to make sure that as you're thinking about, again, the data and the algorithm, the data and the analysis that we're thinking about all of the people, all of the different kinds of people, all of the different kinds of languages, all of the different abilities, all of the different races, languages, ages, you name it that are represented in that data set and understand those people in context. In your data set, they may look like they're just two different points of data. But in the world writ large, we know perfectly well that women of color face a different environment than white men, right? They don't work, walk through the world in the same way. And it's ridiculous to assume that your shopping algorithm isn't going to affect that difference that they experience to the real world that isn't going to affect that in some way. It's fantasy, to imagine that is not going to work that way. So we need different kinds of people involved in creating the algorithms, different kinds of people in power in the companies who can say we shouldn't build that, we shouldn't use it. We need a different set of teaching mechanisms where people are actually trained to consider from the beginning, what's the intended positive, what's the intended negative, and what is some likely negatives, and then decide how far they go down that path? >> Right and we actually had on Dr. Rumman Chowdhury, from Accenture. And she's really big in data ethics. And she brought up the idea that just because we can doesn't mean that we should. So can you elaborate more on that? >> Yeah well, just because we can analyze massive datasets and possibly make some kind of mathematical model that based on a set of value statements might say, this person is more likely to get this disease or this person is more likely to excel in school in this dynamic or this person's more likely to commit a crime. Those are human experiences. And while analyzing large data sets, that in the best scenario might actually take into account the societal creation that those actual people are living in. Trying to extract that kind of analysis from that social setting, first of all is absurd. Second of all, it's going to accelerate the existing systemic problems. So you've got to use that kind of calculation over just because we could maybe do some things faster or with larger numbers, are the externalities that are going to be caused by doing it that way, the actual harm to living human beings? Or should those just be ignored, just so you can meet your shipping deadline? Because if we expanded our time horizon a little bit, if you expand your time horizon and look at some of the big companies out there now, they're now facing those externalities, and they're doing everything they possibly can to pretend that they didn't create them. And that loop needs to be shortened, so that you can actually sit down at some way through the process before you release some of these things and say, in the short term, it might look like we'd make x profit, but spread out that time horizon I don't know two x. And you face an election and the world's largest, longest lasting, stable democracy that people are losing faith in. Set up the right price to pay for a single company to meet its quarterly profit goals? I don't think so. So we need to reconnect those externalities back to the processes and the organizations that are causing those larger problems. >> Because essentially, having externalities just means that your data is biased. >> Data are biased, data about people are biased because people collect the data. There's this idea that there's some magic debias data set is science fiction. It doesn't exist. It certainly doesn't exist for more than two purposes, right? If we could, and I don't think we can debias a data set to then create an algorithm to do A, that same data set is not going to be debiased for creating algorithm B. Humans are biased. Let's get past this idea that we can strip that bias out of human created tools. What we're doing is we're embedding them in systems that accelerate them and expand them, they make them worse (laughs) right? They make them worse. So I'd spend a whole lot of time figuring out how to improve the systems and structures that we've already encoded with those biases. And using that then to try to inform the data science we're going about, in my opinion, we're going about this backwards. We're building the biases into the data science, and then exporting those tools into bias systems. And guess what problems are getting worse. That so let's stop doing that (laughs). >> Thank you so much for your insight Lucy. Thank you for being on theCUBE. >> Oh, thanks for having me. >> I'm Sonia Tagare, thanks for watching theCUBE. Stay tuned for more. (upbeat music)

>>live from Stanford University. It's the queue covering Stanford women in data Science 2020. Brought to you by Silicon Angle Media. >>Hi, and welcome to the Cube. I'm your host, Sonia today, Ari. And we're live at Stanford University covering wigs, Women in Data Science Conference 2020 And this is the fifth annual one. Joining us today is John Hoegger, who is the principal data scientist manager at Microsoft. John. Welcome to the Cube. Thanks. So tell us a little bit about your role at Microsoft. >>I manage a central data science team for myself. 3 65 >>And tell us more about what you do on a daily basis. >>Yeah, so we look at it across all the different myself. 365 products Office Windows security products has really try and drive growth, whether it's trying to provide recommendations to customers to end uses to drive more engagement with the products that they use every day. >>And you're also on the Weeds Conference Planning Committee. So tell us about how you joined and how that experience has been like, >>Yeah, actually, I was at Stanford about a week after the very first conference on. I got talking to Karen, one of this co organizers of that that conference and I found out there was only one sponsor very first year, which was WalMart Labs >>on. >>The more that she talked about it, the more that I wanted to be involved on. I thought that makes it really should be a sponsor, this initiative. And so I got details. I went back and my assessment sponsor. Ever since I've been on the committee trying it help with. I didn't find speakers on and review and the different speakers that we have each year. And it's it's amazing just to see how this event has grown over the four years. >>Yeah, that's awesome. So when you first started, how many people attended in the beginning? >>So it started off as we're in this conference with 400 people and just a few other regional events, and so was live streamed but just ready to a few universities. And ever since then it's gone with the words ambassadors and people around the world. >>Yes, and outwits has is over 60 countries on every continent except Antarctica has told them in the Kino a swell as has 400 plus attendees here and his life stream. So how do you think would has evolved over the years? >>Uh, it's it's term from just a conference to a movement. Now it's Ah, there's all these new Our regional events have been set up every year and just people coming together, I'm working together. So, Mike, self hosting different events. We had events in Redmond. I had office and also in New York and Boston and other places as well. >>So as a as a data scientist manager for many years at Microsoft, I'm I'm sure you've seen it increase in women taking technical roles. Tell us a little bit about that. >>Yeah, And for any sort of company you have to try and provide that environment. And part of that is even from recruiting and ensuring that you've got a diverse into s. So we make sure that we have women on every set of interviews to be able to really answer the question. What's it like to be a woman on this team and your old men contents of that question on? So you know that helps as faras we try, encourage more were parented some of these things demos on. I've now got a team of 30 data scientists, and half of them are women, which is great. >>That's also, um So, uh, um, what advice would you give to young professional women who are just coming out of college or who just starting college or interested in a stem field? But maybe think, Oh, I don't know if they'll be anyone like me in the room. >>Uh, you ask the questions when you interview I go for those interviews and asked, like Like, say, What's it like to be a woman on the team? All right. You're really ensuring that the teams that you're joining the companies you joined in a inclusive on and really value diversity in the workforce >>and talking about that as we heard in the opening address that diversity brings more perspectives, and it also helps take away bias from data science. How have you noticed that that bias becoming more fair, especially at your time at Microsoft? >>Yeah, and that's what the rest is about. Is just having those diverse set of perspectives on opinions in heaven. More people just looking like a data and thinking through your holiday to come. Views on and ensure has been used in the right way. >>Right. Um and so, um, what do you going forward? Do you plan to still be on the woods committee? What do you see with is going how DC woods in five years? >>Ah, yeah. I live in for this conference I've been on the committee on. I just expected to continue to grow. I think it's just going right beyond a conference. Dossevi in the podcasts on all the other initiatives that occurring from that. >>Great. >>John, Thank you so much for being on the Cube. It was great having >>you here. Thank you. >>Thanks for watching the Cube. I'm your host, Sonia, to worry and stay tuned for more. Yeah.

>> No, that makes total sense. You've got me thinking a little bit. You see some of this right now going on general fitness and these thirty six minute classes will fit thirty six is awesome there. Big group No. One, their trainers. And they do a really good job of it. But the onset of maybe not such, um, high intensity aspects that you're doing. But you're promoting motor patterns, right? So it's not like, Okay, let's train for thirty six minutes. Generally was trained for forty five minutes. Let's train for an hour. But let's have a specific program that we're picking on to develop an athlete and push him in direction. So I mean by that is, I kind of see this in this is my attempt to digest cores. Mind not break it down and bring her with me. I thought you'd like to roost e a seven day period. And then you said in this period, I want to accomplish, you know, thiss five sets off total or five sets of ten reps and back squat and then your micro dose in mind like you, you slice it up, and so all of a sudden it doesn't become a five by ten because fifty total wrapped trying to get you won't take that ten reps here and twenty wraps here and maybe five reps here, and you put it in different ways. So if you look at it holistically, it's this very on the certainly first. See, it looks almost just organized, but looks like a lot happening at once. When you take us back, you look at a full truck, the full pies there, and so people they come and see me one of your workout So they see on Instagram that, oh, it's just Korea Doing, you know, appears to be basic patterns that kind of seem random. But really, you said, Okay, this is my goal. This is what I want from these guys and you're taking a step back. You applied it in a very strategic way. So it's not just people say, Oh, it's a fitness class. No, First off, Micro does seem just That's if I like, you know, a thirty minute workout. It's a thirty minute directed work out with the candle quantifiable goal over Baghdad, a period of time. Is that a fair assessment? I dove into the brain of Cory. No, my deal >> looked like this. Lookit. Let's look at another population. We look at prisoners when they go to the yard. How much time do they have a day? All right, >> You know what, >> Right. That's what I'm saying. Like, it's not a lot like they're locked up in a cell for the whole day. So when they go to the yard, they go ham on whatever's available, it ain't like they got this nice little hole like, Okay, we're going to do from squads. And they were gonna go to bench and they were going to Arlo, and we're going to do no. They pick something that is available and they go ham on it for an hour, and they're on really terrible food and really terrible environments, but tend to get really strong. Okay, well, that makes sense. So and you know what? They do it again the next day and the next day and the next day. So I'm not saying we're trained like prisoners, But what I'm saying is there's a reason why if I was to tell any elite level lifter, OK? All you can do today for thirty minutes is squad. What do you think's gonna happen? They're going to go heavy often. And they're going to be able to be fresh the next day to do the same thing. I mean, no one leaves a power lifting meet the next day saying, Oh, time to go train again. No, their body is trashed, right? Because of all the intensity that they didn't through multiple movements. Same idea, right? All I'm doing is isolating it. So, for instance, I'm looking for a specific response. If I want to train relative string, I want to find a movement that they can move a lot of way, obviously not through a high speed. And that's the movement we're going to do. If I want a absolute velocity, for instance, Woodchuck and Tendo terms, I want them to be very elastic. Reactive owned him to move very, very fast. Then I'm gonna pick a movement, say, like a barbell squad job. Maybe it's a credible swing. Maybe it's throws and then they're going to go ham on that. But if you just take that one isolated lift, I don't care. If you do tend doubles at it, you're not going to be that sword, especially if you've been doing this for over a year. First start the preseason. We gotta look at stress holistically. The biggest stress they have is basketball. So the last thing I'm going to do is beat them down. And here I'm just going to make sure that we'Ll stay on the cart. So you look at our total volume. It looks something like four sets of four. But by the time we're at the end of the season January, February, March, we're hitting our P R's and reason why we're hit Rp. Ours is because we've made this huge reservoir of stress that they're able tto handle. So now practises cut in half. So I have more reserves in the weight room. So that force that's afore we were hitting for those compound movements in preseason. Well, now they look like ten sets of doubles or twelve sets of singles because they have that reservoir. So now we're expressing in a controlled environment faster weights have your weights at the time of year that we're looking for those adaptations so that now we're quote unquote stronger and faster. We're trying to win the championship, not tryingto win it and the summer, which you generally see like thereby sent PR is before they go home and summer. Well, that's great. And then they go into their maintenance program for the season, which last six months. Can you maintain anything for longer than six? No, you can't, like, maybe your oil, but you've not wantto patients, you know? I'm saying so. You know, that's that's where it really came down to is I'm trying to find the best means to produce performance, >> so I'm on times Lower standard. Yeah. Please do not mind around it. So I get it correct. Nowhere earthly it's looking at How do we given work out at that? Fits? The current state needed the athlete, so Okay, there begin the year, right? Their capacity only so localize outside stressors to fit in the workout around the other twenty three hours. Right? And then you're applying a stressor that's heavy enough, but not too light. And you do it. I'm not not overly fatigued them, but at least stimulate them. So you working guide rails? Not a written in stone. A type of thing, >> right? Yeah. So yeah. Yeah. How Basically how I how I keep the best part of the best way to put it is what I've done this year that I haven't done in the past is abuse Tendo Units, I'm just That's my way of just monitoring. How about speed? Okay, Cool, because load is one thing. But once again, how do you move that load now? We're not We're not dicing up like, Oh, it's point seven. You're supposed to hit point five like up. You know, add thirty kilos or vice versa, right? Like you're not exact. But if you're within a range, it gives me a whole lot of details, all right? And then you're basically all we do from that point is record the wait, not the speed. I just keep them in a certain zone. Stay within this. You, for instance, our strength speed or a relative strength and strength. Speed movements can't go anything more than triples our speed, strength and are absolute velocity. You can't go anything over five reps. If you hit quote unquote those triples or those fives, then the next time you come in, guess what we get to upload if you're not above that was going to stick with the same load. And if you prove it within your early work sex, then we'LL have a little bit alert. But that's our way of day to day, keeping them on the road, if you will. >> No, that makes sense. Do I couldn't agree more. I see it carrying over so well. Universally way you looked at the origins of strength training and we're like Oh, came from Russia and even your ever pashanski for those people aren't nerds like myself. Russian sports science even started like appeared ization. It's kind of a made up thing, right? So one hundred percent made up haven't made up and it kind of came from the four years cycle of Russia itself. America takes that andan. What happens is you get the the non athlete world's intelligent public world. Everything is monetized, right? So it's like, Okay, we know that training really heavy every days and probably a good. So we're going to make these things called, you know, in small little workouts that might last twenty five minutes are our six minutes, you know, have a shrink it as Lois and possibly can. But no, let's make it not necessarily difficult, but challenging. Um and we make money office. We labeled something different and you see different fitness fads come off when I come and go. But a lot of because I got the capitalistic market monetization. People try to make money off of things. But that really does him from, like the athletic side. If you're thinking about Hey, I'm Cory. I'm dealing with Alex. I don't know how they're going to walk into my door today. I don't know if they're going to be high lower, you know, just normal. How can I then give myself the opportunity to provide environment where they can work successfully and and what you do, which is really cool, And I find it really inspiring kind of cheesy word. But you give a lot of ownership to all your athletes when it comes to selection of exercises and movements. And I find that to be something that we don't say. We as in the general world of anything sports, science and fitness don't always like to do. Um, and you say Okay, you know, credit. I'm wrong, Corey to I don't want take worth mountains, him incorrectly. Just so you know, here's a pattern and maybe select one of these three exercises that you feel like gets you ready. And what's so great about that? It removes the constraints of this exercise is the best. You know, this is the golden exercise and really, I mean you and I know it, but we want to feel good. We would always have a bench press when I came in town, but absolutely, it's like, Okay, let's let's really understand that it's not really a difference between Aback Squad versus upfront squad versus may be something of a trap, our poll, especially if you're using it to get the athlete ready. So talk. If you could talk a little bit about how you decide some of that and what led you down that path and giving those athletes that kind of ownership and understanding of you know, I want to do this versus I have to >> do this right? I mean, to me, autonomy is everything, because what you generally see and it's to me, it's almost criminal is everyone gets the piece of paper. They fill it out with me you get, then you do the same thing, right? You get that piece of paper the next day, fill it out. Get that piece of paper. Next thing, fill it out. And then four years later you go. Well, I'm leaving now. Where's my piece of paper For the rest of my life. Oh, so you didn't really learn how to train, did you? You didn't really learn what worked for you. You didn't really In the really issue is like I deal with crazy, different levers. I mean, I got guys that are five eight all the way to seven foot. So you can't tell me there's a golden exercise that it doesn't exist in my world. >> I >> like knowing you're on. I would love to have everybody do the exact same thing. They love doing it. And they all do it very, very well so that I can have my little lab and I can have my control and I can show. Hey, guys, look how much better we got this year because of my implementation. Bax Wass What? What does that say? That says that I care more about what I'm doing more than what's best for that athlete and what they're doing if you really the real reason why I got to this autonomy stage is when I realized what I do is such a small percentage of their overall success and the reason why I say that I'm not necessarily saying I agree with hit or disagree with Hit, but you could have a hit program. You could have an Olympic based program. You could have your holistic based program, whatever you want to say, and I see the hit program Win a national championship and I'm like, what happened? Like I don't agree with that program, but they won well, it's all about it's all about the dude's. So if I can give quote unquote my dudes the best training environment that works for them. So what I mean by that is Look, here's a squad. You hate doing back squats because the bar on your back, it's jerking the hell out of your shoulders because you don't like to be an external rotation will. Then maybe I'm just going to hate. How about this Bar safety squad bar that feel better? Cool court. My knees are super tender away. It's basketball. Everybody's needs at some point this season, every a super tender last thing I'm going to do is put them in an environment. Teo, flame up those tendons so that they can't perform at a higher level on the basketball court. So what are we going to do? Well, let's Hinch, how about we just do some already? L stay. How about we do some kettle bell swings? Maybe some tribe are dead. Lift. It doesn't necessarily have to be this golden exercise that everybody fits in. And I think really what it stands from is that strength coaches got approved to their sport coaches that we'll look at, our numbers go up and they have to have a control to do that. And the exact opposite. It's a sport. Coaches coming down saying one of our guys bench. Well, if our sport coaches cares so much about bench press, well, then what do you think I got to do? Well, I gotta bench my guys so we could get those numbers so I could look like, you know, I'm validated my job. Well, how about we take something that's oh, universally accepted. So how about a counter movement? Jump out force plate. Now, I'm not saying everybody has forced plates, but you could just use jump height. Friend sits. Who cares how you got there? As long as you are trending right, that's all that matters. Why should we be fixated to a certain methodology or a certain pattern or not? Pattern but exercise. Just give them a pattern, let him choose. And to be honest with you, if it feels right, it's going to fly, right? If it feels good to do attract bar squat, opposed to doing a front squat well, they're probably gonna put more load and they put more load that I'm going to get the stress response adaptation. If I don't like the front squat because it's choking me the hell out. Well, then I'm probably not going to put his much load on it. Now, I have a negative connotation now have all these internal stress is going on, and then I'm gonna have a weird as look atyou, saying I don't like what we're doing in here. So now you think the quote unquote Byeon is going to be there. So now we're not getting any stresses that are going to give me that positive adaptation I'm looking for. So at the end of the day, if I can give them the education tto, learn how to do these movements and how to choose for themselves, well, then now it's not just what they did here for four years. I just gave them skills for the rest of their life. And if they're good enough to play pros now, they can take that and they can articulate it to the next coaching stuff so they could do a better >> job. No, that's that's awesome, man like this. A lot of things I want. I head into their I'LL keep it all Diamond all nine hundred promised. But I couldn't agree more and one of things that you say, you know, let's have a king P I They said jump high, for example, a point of reference. Then let's not care what we d'Oh, to the extent I mean not care. But let's not constrain ourselves of what we dio in order to improve that k p I. So the way I think about it, it's kind of like you ever use waze before that? Yes, that we got right. It knows to things and knows where you are. It knows where you were. If you're driving, it knows where you're going. Road. And then as okay, all I care about getting to point B So it will take you on detours left and right. Little Granny is driving slow in front of you for the pothole. If whatever is going to find the best way to get there, it doesn't care how it gets there, right, Right. And so work that it's say, OK, let's get the sevens environment where we can learn. And we know we need to get to be for me. And I'm not gonna say to go in a straight line because you might go through building and crashing hit pedestrians. We're gonna find a way to get to be. We're going to find a way that makes sense for the athlete and yourself. So my teaching them, you know, let's have you like and learn to do some of these movements then don't know taking a left at this next stop light to get to point B will be quicker than you saying go straight because they're the one in the driver's seat, right? And if that educational environment where you start to look at this a really complex system, her planting a really simple abie model and apply it to something as complex as the human body so that we can learn. And the example I give. It's like, you know, the ways part like, that's the more complex and assumptions we make more room for aeri half All right, we'Ll screw this. We assume that the sumo gets here. Well, if we assume in order to get to A to B, we got a one a two a three a four, a five. But any point on the line that, you know, assumption breaks, we don't get to be all right, you guys, you stuck at a whatever and doing. You know, we have to follow this waterfall method. It's very much a living method where things come in, things come out, things make you change. But you know what? You want to go? I >> mean, it's we work in team sports. Like the only objective we are the only objective that matters is wins and losses, period. Right? So if I wasn't a stopwatch sport, maybe my mind would change a little bit, right? Maybe I got okay. We need to drift towards this because literally it's did you get faster? Did you not get faster? Right? Swimming whatever you're doing, maybe these are the things we need to do more often to make that happen. But I'm dealing with incompetent. I mean great human beings, but just physically incompetent. There's still learning about their bodies were still growing into their bodies. I think it's the most arrogance thing that a strength coach could do is to say, Here's a program that's gonna get you better for six weeks. What? What is that? Even here's a block that's going to get youto point me. How do you know Like, till you know Saddamist like, can you honestly tell me that following this six week plan is doing that? Hey, they got sport practice. They got exams, they got pick up your tell me none of those factors could potentially there off your little plan or that your little plan can go up. They're KP eyes, if you will, or their Their goal is just a play basketball. So that to me, that's where as this thing, it's like the most arrogant thing in our field and it just drives me up the wall. But the other day, like I got a sport coach who has all the faith in the world of me gives me the keys to the castle. He just tells me, Do what you think is best. I I report the numbers that he doesn't even know he needs. That's what's awesome about he's like Chord. I just trust you like these were things that I want to see my guys do. We want a quote unquote play fast. Well, okay, here's some standards that we can set And these Airways that we know we got quote unquote faster. Now, from the technical tactical aspect, that's where you guys come in and you guys got it. Apply what you think is best to make that happen, right? But I gave you the physical requirements. I told you exactly what you need to get done and how we got there. Now you guys apply the technical tactical aspect. And then there we go. Now we have a happy marriage is long as I can supply valuable information. It doesn't matter what the information ISS, and that's where everybody gets stuck on these controlled environment numbers like like looking, swatting inventions like Who cares? Like Who cares about written load? Load gets you to here right after that, it's all about It's all about speed. It's all about rhythm coordination, your vestibular system that there's so many things that go into making. You better not just, uh, put three fifteen on the back squat suite. No, >> that's you know. Yes, yes, I agree. I'm not going to deviate too far. My ma, you know how I work or my mind races and I don't go in straight lines. I apologized immediately. Good. I was thinking about your friend mentioned earlier. It was everything that this lately, too. People who've been the private sector's I work in personal training, and I worked in exercise clinic for two and a half years. Iowa State, where don't older adults randall off cool testing on them. But ultimately they showed up because they enjoy it. And one things that I think we I don't mean We have everybody some people forget is that it needs to be enjoyable back. And when you're in a private sector and you're literally your food is the ability for something to come back to you. Hey, it's really different and you start. You said Okay, you know what exercise and movement do you like, and then you manipulate How do I make that exercise the most effective exercise for that person? And that's what you kind of mentioned with the educational process for your athletes. You're taking this approach. Where? How did you get them to win? Firstly, they gotta want to be here, but they don't want to be who I try hard. And secondly, no Adam, take ownership of these movements. I really like that concept because it's really melting in the world of Hey, you're here. You have to get better. But everyone knows when you want to get better. Vs have to get better, right? The be out a little different and unusual marks Lefton excited to move. I just keep thinking about that from like the private side. That's really where, like the general public, and you could deal with great Alan to deal with a lot of athletes who really want to be there. But unfortunately, majority the world doesn't want to work out like they're they're not interested, and I hate to make an assumption, but it's hard not to think that it's either them not knowing or them intimidated that have to do something in there, right? Right. I'm like that mindset a beam to apply. Okay, let's have an ownership model that drives it, because if you talk to people, her successful personal trainers, they have a way to make sure people come back. Oh, for should join a box in a way that a strength coach you're no environment might not even have to be exposed to just because it's the nature of >> well, for me, like the off season. I mean, when I get a freshman, that's a great thing about basketball. But I get a freshman. I mean, maybe they picked up some weights like a B. There's still just such a greenhorn in the weight room. They don't know what's good and what's bad, right? So, essentially the off season is a little bit of dictatorship like Sorry, I'm to tell you what to do because you don't know shit, right? But the goal is to earn that autonomy as well. So, you know, my guys that are kind of like slaps like for the whole offseason. Well, their leashes a lot tighter like Nah, bro, you're going to do this because I know you need to do this. You have earned the right to have that a top. So I want to make sure that that's, like pretty clear, too, because if you just give autonomy all day and there's going to run over you. But the one aspect that I think that is so important with our autonomy is it's my biggest performance enhancer, and I actually had dated Approve it. Like if I just look at my C M J members from our force plates once again. Yes, there are some maybe eight sets of doubles or six sets of triples or whatever, right? But once again, that is Tendo based, like to a certain agree with most of our movement. So you know, it could be a triple. It could be a double. It could be a single. It depends on where they fall in on along those lines, but essentially the flexibility of the sets and wraps, the unbelievable latitude of the movement pattern that they're doing. But yet counter movement jumps in February. They are p r ng, not season. P R's. I'm talking life top ers Guys that have been here for three years are hidden from nineteen point one to twenty six point four. I can't say names the twenty six point four in February. So what does that say? It says that my biggest performance enhancer is the kids saying I want to do that. Cool. That's what we're going to do. >> No, I love it that zik perfect. If you want to be there, you're intense. Going to be high. You're going to try harder. You're going toe actually care about what you d'oh and that mindset really house dr an aspect of performance that otherwise we can't because all internal right korea we really started wrapping up towards the end you buy a couple questions for you before you go yourself thank you i appreciate it it's always good to have you next way clich a weekly cycle korea >> will make a >> record you know fire i slowly thanks for having you guys we wanted to come with because you're a scientist I mean, if you had to share a bitter fight and this is to anybody and this isn't their coach, Jenny, where nobody is looking to enhance their fitness, their performance, um, their overall well being You that with activity, right? How is what would you advise someone to get into and regards Tio training our house to someone Initiate That's on top of the micro dose in a kind of giving that much of credit here, obviously some e How does someone injured? I heard it put that way and I'll get straight to the point that one look into into exercise probably should do some form of micro dose in to see if you even like it everyone to overdose. How do they start that process if they're not athletes per se how they decide where they began? >> Well, essentially is what do you want to end up like, What's the what's the point beyond ways, right? Do you just want to look aesthetically better? How aesthetically do you want to look? Do you wanna look like a big body voter? Do you want to look like a swimmer? What do you want to look like? And I think that the vein than fan ity. And I mean, that's what drives my basketball players there in tank tops here around. Of course, they want nice arms. Right? So there's certain things that you gotta know. Like, I want to look like this. Now, some of the performance guys, Maybe I wantto sprint faster or jump higher. Like that's a whole another aspect. But we're talking about general population number one. What do you wanna look like? Okay, so if I'm three hundred pounds and I want to lose some body fat for my own general health and I want to, you know, be more presentable, if you will. And smaller clothing. Well, then maybe just walking ten minutes every day, and then you start adding layers to it, So Okay, You know what I mean? Killing these walks. How about we go Stairmaster? Okay, that's a little tougher. Okay, how about we introduce maybe some med ball exercises because that's not necessarily too complex to do that. I can do it through different ranges. It's easy to manipulate. Okay, Now, let's take a dumb bill or kettle bill. Then we work our way to a bar bill and now. Oh, man, what do you know? I just dropped one hundred pounds and in them. Oh, before all of that eating. But like, we're just talking about the physical aspects, but as far as that, where do you want to be? Okay, I want to look like Brad Pitt. OK, for one, get plastic surgery. But if you want to look cool air at Brad Pitt and Fight Club Okay, well, these are the things that I need to do. So let's reverse into near the process, okay? He cut his little jack, so that means he's got muscular strength. OK, cool. So that means weights are going to get involved at some point we'll he got really lean for this too. So my general fitness sucks. Maybe I just need to start with walking. Maybe a jump rope, maybe just medicine Ball toss is something that's super easy. The number one. What's going to make me more consistent? What consistency is goingto win? It's not. They'll work out you do that's going to make you go from a counter movement jumped a nineteen point one to twenty six point for It's the consistency that got you there. All right. That was a two year process for that kid. Just to get to that point, right? If you try to hijack the system, if you try to go, I want to get from point A to point Z like that. Well, you're going to run into multiple things. One possibly injury and two. What's the real reason why you're Russian? The real reason why you Russians, Because I don't want to be there in first place. Now you've just ruined the whole concept. Now you've just ruined the journey. To me, that is much more important. Like when I used to be a fake body motor, if you will, that when I try to get ready for shows. I don't remember the show at all. The only thing I remembered was those nights where I was damn hungry those mornings where I had to get up, do my quote unquote fasted cardio meal prep backs without remember only big. How I was on stage for forty five seconds like that was twelve weeks for forty five seconds. Right? So that's where you gotta understand like it's the beauty or what is it that Jake whole line of the beauty is in the is in the cash. Basically what? The thing that you want to fall in love with the most is the adversity that they were going to fall in love with the most is the stressful points. That's what's going to create the beauty, if you will remember that Jake Colon. But essentially, that Google >> search really quick pressure that the Brad Pitt Fight Club I >> mean, that dude was solid, Man, that was a solid right. May like Brad Pitt. He was a pretty boy until fight club. And I was like, Yo, that is some white trash. I would not mess with him. He can go. >> Uh, great. I love it. Lastly, Yeah. Course lesson. Where do we find you? On social media and other venues? Assault media were coming here more than beauty and wonder himself. >> Yeah. So Instagram is probably what you can find me on the most slash strength as C h L E s strength. You could find me there pretty active on it. You want to see so naked cats? So to sphinx, with my beautiful wife and ah, multiple podcast. I'm on a lot of different podcast that you just Google. I, too, are goingto iTunes type in my name. You'LL find many other platforms where I go into a lot more depth about how we train on And then, of course, speaking engagements. I do multiple speaking, engage with the nationally and internationally. And so there's opportunities to meet me in person there. >> There's beauty in the struggle. >> There is beauty in the struggle. This beauty >> I got my end. >> Yes, there is beauty in the struggle. That's when they >> get here in Britain, right? Right there. Where >> you Brooks. But there's beauty in the struggle >> A lasting well, Korea appreciate you have coming on here. I mean, I hope something useful. I >> was one hundred percent. My pleasure, Max. I love working with you, man. >> Now you do. And anybody curious about Corey? I mean, I really encourage checking out his social media. Yeah, I know. It's a lot of crazy stuff on Instagram that is really thought provoking. Put it that way and I can't believe it. Oh, my goodness. I can't let you escape Korea quite yet. >> Well, what you got? >> Uh, whole off the exit. Give me five minutes on it. I was going to ask his social media is going to ask. Yeah, way rehab itself. Yeah, to spring loaded monster man who means you want to share a little bit on this because I know you have been doing this yourself. Yeah, this is it in chorus singer based Achilles program. I love some of the actors. I love thee, not the unloaded foot contact under your hand motion who was seen Alice into this isn't the course in a chair, and he's for lack of better words. Words. MacInnis foot on the floor like a pogo stick and doing extremely extremely unloaded movements early on that site, too early on but in the rehab process itself to introduce low level plyometrics, He's doing band assisted jumps. He's doing isometrics. He's doing heavy squads. He's doing some bar bell curls. All things important for the curies. >> Sure are. Absolutely yeah beyond you. My understandings of the lower leg complex is off the charts because of my injury. So for the viewer's eye, tor macula or a ruptured my Achilles tendon with a full rupture but right at the insertion, which is the very atypical tear because I've been dealing teno sis for over a year before I tore it. So they had it cut me up top to bring me down low, if you will. So usually Achilles ruptures that all they do is bring it together and then tie it. There are. So it through the mind was at the very bottom. So essentially, they had to cut me up top toh length and me and then, uh, suitors through. So is very atypical, which sucks only that that part sucks. Spike. Um, it's not that I am Well, maybe a little bit arrogant, but I honestly want to take full control of my physical therapy because I think that intuitively I understand the process not just of rehab, but of how to increase performance. So all I did was watered down as much of that is possible and truly started as soon as I got to the pain free. And so, yeah, with all the unloaded stuff, it just made sense to me like that's something you just don't see in physical therapy to It's kind of blows. My mind is what's the first thing to go like when you get older? What happens? Will you lose your ability to do very forceful things or to lose power or the ability to generate power. So that's the first thing that came in my mind when I rupture. Or when a Torme Achilles was okay. I need to go back and not be old because essentially, I'm staying still. So if I'm staying still, it's like use it or lose it protocol. So from that perspective, I told myself, I need to move fast at some point. So I started with all my available limbs at the time, just moving fast. Then I progress toe when my suitors seal or excuse me with my I want my wound healed. I got into the pool, so that's the most is about is unloaded. You should get, and all it did was just frail. My leg and there a cz muchas I could through different planes and of course, he has fold up. But of course, it's going to like your adding a stress. And so I just did it Mohr or Mohr. And so I just Kim. Training fast, even though, is the most unloaded way you can do it. And then, like Max was talking about, I got to a seated position and I just started doing be most unloaded pogo jumps you've ever seen or ankle pops or whatever you want to call it. So then I transition to standing on it isometrics, then putting more force into the forefoot isometrics. And then I started using the bands I mean super heavy bands and then just started like Pogo's and then start lighting the bands I went to arm went the body weight. To me, it's like super common sense, but I don't know, maybe the physical world. It doesn't really look at it that way. They look at it and isolation opposed to global. So to me, I knew if I could quickly get back to global patterns that I will be able to promote healing faster. And so, like Chase talked about, his last one ought to be a far protocols. Luckily, I had him as a resource to help me with my healing process, but right now, on that four and a half months, almost five months, and I'm doing some pretty cool things if just to give you a point of reference. Dez Bryant, wide receiver. He tore his a week after mine, and essentially, you guys Essentially, he's What's a similar athletes level athlete? You know, very someone. Uh, actually, he's going to be up until eight to nine months. John Wall tour has a few months after mine. He's going to be an entire year for his process. Boog, Golden State warriors took him a whole year to get back on my goal. If I can get it back and lesson seven months, that means I did something, right? >> No, I love it. Well, that's tough stuff. Get to see if you check out his instagram page. So me, please, dear, do yourself a service. Go check out the man. He's a good dude, Tio. So sometimes no kid. Don't >> you know you're right there, e >> I don't want call corps on a bad day. >> You >> know, it's all good now. I really appreciate it, man. Thanks for being on here. And, uh, again we follow sometime in near future. I feel I'm expecting that shirt. By the way, where is my core bighead T shirt? >> You know, I want to find one of my earlier body building picks, and I'm gonna put it on a T shirts and, Tio, >> I love it. How I rocked the hell out of it. Man, >> you're beard in a most >> and be right here. Yes, right behind. Maybe my postal records slash proposing bronze and gold. You're welcome. You're welcome. An absolutely huge in that >> purple banana hammock to >> Wouldn't ask for another way. What? The full real deal. Korean stage. Ready, you know. Awesome. Well armed man up that thing. You guys, Listen, I appreciate it. Great South Korea on. If we're curious about finding more, check him out on instagram and look for Teo. No doing more. These in near future. >> Awesome. Thanks, Max.

>> Produced from the Cube studios. This's strong by science, in depth conversations about science based training, sports performance and all things health and wellness. Here's your hose, Max Marzo. I'm with >> the one and only Cory Slush Inger Cory is the director of men's sorry, director of performance from men's basketball at Stanford University. Good friend of mine, extremely passionate human. And for those you don't know former college basketball Hooper Corey really happened. Happy on a day to thank you for being here. >> No, man, it's an absolute pleasure. Me, Max. It's It's kind of crazy how our relationship has evolved throughout the years. Ah, start with Diem. You know, that's how it usually goes, the way your T shirt and he's got hair. So I wish I was that God, like I got it down here, but I got it out talk. So don't worry, Max. I'm going to make you a T shirt and I'm sending Teo. You said >> make a T shirt. I >> will wear >> until you plant cast with you again. >> Be careful with the pick. Might be >> way careful with that. Wait. Speaking of that, Corey, I mean, before we went on air here, you have a little story about your beard. And not to say you're only known for the beard, but the beer definitely is a staple in the slashing. Your appearance give me back for that. I want to hear it, and they will dive into some of the science. >> Yeah, man. So as far as the beard, I mean, it started at you. Maybe we're on a Spanish tour went overseas, and I did. One of those crazy handlebar mustache is right. I mean, it was gnarly, but being overseas just didn't shave, right? I mean, we're there for almost a week and a half, and I just started growing out the stubble. And then people are like, keep it going. And so I kept going and we were winning a lot of games. And then we end up winning a championship. And so it became like the tournament beard or became like the season beard. And so I just kept rolling it from there, and yeah, that's that's kind of where the beard is stated for now. And then when I realized, like if I could, it almost looks like a cancer patient. So I needed a key because he's blond eyebrows, man from five feet away. It looks like I'm ball period like I can't grow here. So, yeah, that's where the beard states is at this point. >> Well, Iet's fifty. I'm getting mine going. I'm not going to your caliber. I keep it trimmed, but it makes me feel like I'm a scientist or something. If I have a beard, makes you more intelligent, but getting off the topic here. When it comes to developing anybody, people say, you know, athletes, athletes, athletes athletes are what zero point zero zero one percent of population when it comes to developing anybody at all. We got talking about the bass aspects of human movement human development. You have an interesting take on this, and I don't want to spoil it for the listeners. I'd rather have you say it first, cause I'll just bastardized and screw it up. You're going to take on developing anybody regardless if they're an athlete or just general population, >> right? I mean, if you look through human evolution one or two things that we used to do, I used to farm. We used to kill things with our hands. We used to climb, you know, we used to throw things, you know? I mean, look at the the early Olympics, right? I mean, that's basically what the events wass. He wrestled someone. You ran faster than someone. You ran further than someone, and you threw some things. I and basically that's what human capacity is. So my goal before we actually trained them to be better athletes, is to make them better humans first, because if I can express their ability to be a better human, then they will be able to express their ability to be a better athlete. >> Joshua and with those movements, selections. If you have unique choice food people who don't follow up Instagram better weigh on your instagram handle at the end. But the selections of exercises you pick, it's not traditional a sense. Let's load a bar up. Let's do a hand claim you really take ownership of different shaped objects for that way, whether it be a yoke, whether it be a kettle bell, how do you come up with the most movements? Elections? What goes into that decision making? And for any individual out there, whether they are fast ball player who's seven one or a guy who's five eight, how do you decide which of those implements are best fitted for you? >> Well, everything that shaped the way I believe is one hundred ten percent based off my environment. And look, I played college basketball. Don't look at my stats. I was not that good, but I trained in or I've played with, and now for ten years I've trained that basketball athletic population, so you can imagine with me. Okay, I'm five foot ten. Very average, at best, especially with my links, man. Now imagine six foot six, but a seven foot two weeks man and all those things that I was good at, clean snatched jerk. You know, I was a purist in the beginning. I mean, of course I was right. I was just learning what strength iss How to be strong. Now, I'm trying to imagine further. Like, how do I have impact? How do I have quote unquote transfer? What? I'm trying to load these freaks. I mean, these guys are not normal human beings, right? They got seven foot two wings fans and short torso, so their levers are crazy. So now I'm asking them to do the same things that got me strong. Being at five. Ten, it just doesn't make much sense to me now, Not saying they don't have the capacity to do it mean help. Be honest with you. Some of my best weightlifters actually been seven foot tall, But that being said, if there's a way I can load them, that makes a lot more sense. That's easy to teach. I could do it often, and it's right in their comfort zone now, not comfort as in like we're not training hard, but like in their center of mass, where they can actually manipulate loads heavy loads at that with decent speeds. Then, yeah, I'm going to do that. So, for instance, we look at a bar bell, clean snatches all good. Why can't we do the same intent with a trap door? I mean, we could still pull. We could still triple extend and then we can still catch in that power position. The only thing that changes is the complexity of the movement. Now I'm not manipulating myself around a straight bar bell. It's in my centre of mass. And now I, Khun Express quote unquote force. Ah, lot more efficient, Effective. So now I can load it more loaded faster and do less teaching. Yeah, I do that. That makes a lot of things So that's really what it came from. And then to be honest with you, But how do you experience that light? How do you know a seven foot feels like? How do you know? And so you know, I've dabbled town some ways too. Open up my consciousness, if you will, to allow me to feel that ord, allow the imagination, my creativity to tryto understand what that could feel like. And then, of course, obviously feedback from my athletes. But I mean, why you always see, like the old school dues were just like, Oh, this is weak. This is squad. We we box what we what do we do? Whatever to get strong. But it's like, you know, it makes sense. If you're five foot six, it doesn't make much sense if your seven foot tall so you've got a truly find ways to experience it yourself. And now by the means that you do that probably not going to talk about on this podcast. But the way I did it work. >> Yeah, well, we'll refrain from diving that specific. I'd appreciate it on because to each his own one of the things you mentioned like talking about Hooper's I played basketball. I played your Batch three point shooter. Anyone's listening, too, By the way, when my feet are set, I'm not. I'm not an athlete, but I could shoot the shit out of basketball. I'LL be very blunt with you. I've >> been on the receiving end of that on one of our own game. You don't have to talk when you busted my ask way >> down to like. A lot of basketball players are bad movers, and what I mean by that it's their very good when you put a ball in their hands. That is something you talked about, too. But when you get them in a dance room right there, a lot different than football players and I mean by that is you don't see a bad end zone celebration, right? Want touchdown dances look really good, Odell Beckham being very soon and a lot of it's because those patterns are done without a ball in their hand. This is my opinion and they're very primal and natural with a minute and basketball everything's doing the ball in their hand and then when they start to move, especially because they're developing this, you starts. We're like a third rate. Now they have to only play basketball. And typically you don't play football and basketball, especially football. The high level, because you know you prepping for the basketball season itself. >> You get that deal in Scotland. Shit, bro, >> You have to play basketball for every waking hour the next fifteen years to get there. I'm kidding, but I'm thinking about my head is we're not exposed to those different movement. Parents were stuck in this ninety foot unless you're how light is forty six feet, something like that with court that really constrains how we move. And then you put someone in a waiting room where all the son of dealing with external loads and very unique movement patterns you get guys who just looked walking and I think you talked about this on different podcast, but I want to get into a little bit. Here was, I think so. That stems from our coaching of a young athletes and our physical education that we no longer does. Have we used to have back in the day and how that's really affecting athletes as they get older. >> I couldn't agree more. I mean, I get these quote unquote specialized athletes. And to be honest with you, I don't have athletes like I have guys who have a basketball in their hand. They got really long levers and they have some skill, right? They have some skill to be able to go from point A to point B and put on orange round ball into a cellar. That's that's so happen to be ten foot off the ground. That's what I have. I don't have a true athlete who can pick things up off the floor who could sit down on the floor and stand up, who can throw things who can sprint, who could jump onto things. I mean, some of the best vertical jumps that you see in basketball are not even close to what you would see in football and track and field. When you think this is a sport with the high flyers counter movement, jump hands on hips averages that I've seen on teams eighteen inches and everybody is like Oh, that's terrible But that's a true counter movement jump with long levers. So now if we add some momentum to that and add a seven foot two wingspan and then all of a sudden their elbows above the ramp. Right? So that's the difference we get. We see this a NRI or this false thought, or this false vision of what athleticism is because they're so long. But in reality. And then you put a bunch of cornerbacks out there that would be really special to see, because these are guys that are like five foot ten and the most explosive fast dude you've ever seen. There's don't have the skill to play basketball. So you know, with the way we are, physical education is set up now, obviously has been chopped in half, half, half so no more education. Physical education is what we get to. They only play one sport. They sit in chairs that they're not really made to be. They live in this wart western society where every chair they sit in Is that it? His ninety, which for them is more like this, right? And then they get up and down on these beds that their feet are hanging off of. So I don't know what sleep looks like for that. And if you saw my guys get on an airplane, a commercial airplane, you would be cringing the entire time because they're literally bundled up like this. And so not on ly. Are we trying to correct childhood development? I'm trying to correct what they deal with on a daily basis. Just walking the class. We watching my guys duck through door frames constantly. It is like some some of them are guards and they're ducking through frames. And you're just like I don't know how you've made it this far without knocking yourself out. So there's so many that it's really all about the environment and her. When I've trained my athletes, it's all about giving them the environment they have never had. So that's why we utilize the resting room. The gymnastics room. It's soft had so they know, so they don't necessarily fear the ground. They don't fear their interactions gravity. So now I'm giving them the ability to learn how to change levels. You know, little guys. So I don't see six foot ten guys wrestling, right? So I have an opportunity. Now they learn how to interact and change levels, and then even more so you put somebody with them. So now we're like pushing and pulling, just like you see in football. So now they know where they put their feet. So now we're not stepping on feet constantly looking. I mean, God, Hey, these guys are like because sixteen seventeen shoes like, of course, I'm going to step on each other's speed. But if they have that awareness in that sense of where other people are, then maybe they don't make that misstep. Or maybe they get their self out of harm's way and then even more so just learning how to fall. They learn how to fall properly from standing toe floor transitions. Then, when they jumped through the air at forty two inch words, whatever you see, that's make believe for you. Switch vertical right word, but and then they get hit in the air, and now they've got to figure out the most effective way. Not the break there. Nash. Well, most of the guys are going to do everything they can to stay on their feet. Well, that's where you want to get blown out, right? So now if I can give them a tumbling strategy, so now that they can interact with the floor a lot more smoother, athletic, well, then maybe they have a chance to not get hurt and be be back in the action, right? So it's performance enhancing as well as injury mitigation. >> I >> know that. I mean, I don't know where to begin. I have about nine comments off that. First. I love the idea of talking about how these guys are living in a world built for some one, five, ten. I'm six two and Kelsey, my girlfriend. But, hey, can you reach above and grab the top? Can apostle whatever I'm like? Yeah, Okay. But you look at a guy until you actually play hoops. I think, and really appreciate how big these dudes are. You play. It's a guy who's seven one. You look at him and go, Oh, my gosh, like that's at a different human. And then you know his shoe size next to you and you shake his hand and you get to the other side of his hand. You start to understand, like, who we dealing with here, right? You look at these, you know the body needs to heal when it goes into a stress or whatever, and we're putting these guys in positions that the body would not otherwise deem for recovery right now, like this call. Time out. Is that the funniest thing? MBA timeouts. Aside from LeBron James, that's got the nine foot chair right? These guys come out and these will stools that are too small for meaning, and >> so they're not really >> rusting. And you got a dude who's trying to recover his heart rate, but really the whole time, he's in a hip flexion. He's never been in the past, you know, thirty years, right? And if you're thinking about really taking care of an athlete, we spend so much time in the weight room and all this great stuff we can do. So Muchmore. If we had a liberty, too, I use we usually more like you, um, to you, then develop an environment that conducive to them. I know University. Kentucky did that. If you look at their dorm rooms, they had ESPN going on two years ago when they built at the new facility. For the basketball players, the sinks were higher, the magical tired, they were longer. And if you ever wash a guy who's seven foot dragging on the water fountain, I mean the amount of spinal flexion he has to go under. It's ridiculous. The guy's curling up in a C. And I mean, that's crazy to think about because the whole time on the way we were talking about how do we get these guys in a position that they can function successfully? And right now it's like optimally because obviously would have been something we did fifteen years ago to get in a position, right? But how do we get them to be successful? So I pose the question to your court. I'm gonna give you the keys to the castle. The kingdom. Okay, Philip, um, maybe not the whole environment. But there's three things you like to change the outside of the weight room that you had the crystal ball and you could go either back in time more just socially. Okay. I want to change his guys. You know, the size of his car. You know that the chair he sits and we're three things that you pick and dio >> number one. I would get them involved and dance or martial arts as their first sport. That would be probably number one so or gymnastics something. I don't care how tall you are like Who cares if you're not trying Win a gold medal at three, Right? Is just learning how to do those things right? Understanding your body number two. I would change how physical education is and in western society, um, and then number three. Let's give you something actual physical number three. If I could make what? I >> got some for you. Well, you're thinking, OK, I got you want to think your third for me? Basketball players eat horribly. You're so single, teacher. Yeah, basketball players, at least by team. And I will make this universal blanket statement. They just don't like to eat for some reason. Right? Who for? Three hours and drinking game and call it good. And I don't get it like I have a fat ass. My play. I gained weight in season. Really? Team he'll know what a food I take over which you're pulling their postgame meals. And that's when they remove the snack girl. Remember the snack role when, uh, >> you know, you have todo I had Taco Bell, bro. Like we won. We got talking about, you know? So I asked the level Appalachia, which we suck. >> I think I'm going to go a little. Can't you apologize? We're going to go play and that's a D three hoops. That's finest. We're rolling to a game. It's up north took a four hour drive and we stopped at the rude crib an hour and a half before taking a corner booth buffet of ribs. They got a bunch of island boys here. The rib crib you bring up platters were basically, you know, and capacity. And when they get like five points because our center had to pull out the throat at halftime. >> Yeah, it is. Did you ever have to drive the team ban? Because I have ways in the backseat in the bag who thought that was, like level once again, level athlete, that unreal. But I would say that the third thing Don't be wrong. Yes, food. But if there's a way, I mean, if there's a truly economical way across the board to just look, it got health, we could do that, don't care. But I can change your environment that could change your internal environment and will, And the number one is if I can just poof your gut and I can look at everything, then that will be the number one, because just a little moving world. But I don't know how you're absorbing it. I don't know what's going on. And then you wantto talk about these kids that you know, a phD or these kids that are super restless. Well, I think it starts with the gut, because if you're got health sucks, so does this. So that would be the third thing. >> No, that's crazy That way. May I have a little bit of experience is our company. I don't deal with the actual read now that the things I've learned and seeing the idea of taking that integrated approach. So hey, let's actually look at your stomach. Yes, you have to collect your poop three times a day, and I'm sorry. If you're going to do that, you can start to look at what you produced and way of excreting and whether or not you're absorbing what you need to absorb. And we start looking at injuries and no tendon, health and muscle tissue, everything as a holistic approach. What? We gotta look at the internal environment if any of our environments messed up inside and we're trying to impose a stressor on the body. But we have no idea what the internal systems like, and you have certain deficiencies or certain aspects that your lack and these were certain areas where it again people go, Oh, that's not scientific. There's no study. Well, unfortunately, if you understand complex systems and their dynamic interactions and not to get too detail, I'Ll explain it as simple as I can. But what happens is we have an outcome like a strange angle, and we say, Oh, and go weak angle get hurt, right? Well, kind of grooming. Or maybe it's ankle week. That's a risk factor. Athlete didn't sleep enough the past three nights. Risk factor Athlete had some sort of physical contact during the game. That critter there system risk factor athlete. Nutritionally, it wasn't recovering from previous workouts and games. Risk factors so happens of all these risk factors, and that's just a very there's no all the risk factors. A lot involved, all but these risk factors come about and then we have the probabilistic nature of something toe happen. So oh, how likely is it that something bad will go wrong and we see the last straw on the camel's back sprain an ankle and we go a week. But maybe it's didn't sleep enough Ankle week. All this other stuff and that ankle sprain. For people interested in complex systems, it's called an emergent pattern. So there's a common pattern that occurs when you have things go wrong. So if the money C l it's like, Oh, gluten medias is weak knee Val Agus. All right, you're a muscular control all these things that go into and nothing can pinpoint it. So if we're including these bomber, you know about mechanical factors and Eve Alvis, why aren't we including some internal factors like gut health Or, you know, the blood wood for the micro nutrient efficient season? Yes, I know I'm not versed enough to speak on micronutrient deficiencies and our interactions off, you know, health and whatnot. But something as simple as college in environments haven't adequate vitamin C for, you know, ten and healing instead of, you know, repair is obviously a factor. And so when we start looking the bottom, we gotta look at the big picture. It's not just how your knee bends. It's not how you shoot a jump shot. It's not how you land every time. >> Where are you? Our body is so much more resilient and durable than you. Give it credit for me. We've survived as a species. We're a very long time. You're very harsh conditions and you're going to tell me it's that one jump that got you one job. One job is the one that Oh, that needs a little dalliance. That's the one that got you. I mean, if you super slow mo A lot of these great expressions of physical capacity in sport it was you would be like, Oh, my God, they're neither this there that But in reality, like that's I'm close to the reason why they like break or don't Break. And Jordan shallow, brilliant dude, He gave me this metaphor. He was saying to Philip, a pond, Well, it's like this fungus that will Philip a pond and it doubles its size every day. So if it starts off it like, you know, point two, then the next day be point for and he asked me, he's like, Okay, if it's going to Philip in thirty days, Philip, the whole pond, What's the day? It's half full. Then I thought for a second it took me a lot longer than I should have thought about it. But he's like, but he an injection goes day twenty nine. I >> don't want an answer, by the way. >> Yeah, was like Day twenty nine I. That's why I look at the human body like that is literally the last thing and then pull. And so it's all these. We could have had all these interventions from day to today twenty eight or day twenty nine. Even the notes that one just last. Ah, strong. The camel's back to just there goes, you know, And that's what's great about being in the collegiate setting. And being a Stanford is we have a lot of safety nets for our safety, and that's if you will. So we try to have as many quote unquote KP eyes and objective measurements to give us an idea of what could possibly happen. But in reality, it's still the dynamic environment, so I don't understand. Like I can't account for school. I can't account for their sleep. I mean, we could through, like, grouper or or whatever, but it's not realistic and thine and are setting and in their gut hell's like way picking up poop. Three times a day. They were not drawn blood once. We're not doing these things. So unless we're doing that, then you're just trying to create most resilient, durable human beings so they can withstand the stressors some more than others. But hopefully have a successful season. >> No, that's like I hate to break it to people. We don't know what we're doing. We're doing our best. I think chase Wells with him. A Stanford. Get a great line, he said. We can't guarantee success. We can almost guarantee you're not guaranteed to fail. And what I mean by that is that you can't always KP eyes and really, we're looking at. If you jump nine inches, we're probably not going to be very good basketball unless you're seven. No, right. And so we're looking at the human system as a means of understanding what is going on really lagged behind in regards to your performance assessment and what might be hindering you in regards to launch into no tracking? Can I get a little bit of data? A lot? The way explain it is kind of like I don't ask my girlfriend Kelsey, how she's doing. Once a week, you know. I asked her every day and why I asked that every day is to realize, you know, all my clothes that I left out pissing her off. You know, I did. I forget that we're supposed to go on a date last night. You know, I might not have forgot a wallet last night. We went to dinner from now on, Accent, all supposed to buy. But that's a true story. WeII >> brought up. I mean, that's the most important thing is you gotta have feedback daily, right? And wait here. It's really simple. We take a controlled environment, do some things in it before they go into a dynamic environment, which is basketball games of basketball practice. So what we do is we call that microdot. It's our way of training. Every day, in some form or fashion, these individuals come into their work, their human capacity, a Siri's, if you will. Then after that, they go into their B series, which is complex. This is really what I know what's going on. I don't get me wrong when they walk in to get their weight, are joking or making eye contact and get that handshake. How firm is that handshake thes air, All the quantitative things that I'm trying to pick up as they're coming through the door. Then you watch them say We're hitting clean, complex and they're going through the motions and their consulate changing grip or or the pool isn't looking too good, and any sharp today will boom. That's my control Now. It's not the most objective feedback, but at least it's a constant. And so that's my way of having once against safety nets from a safety nets and then weekly or depending on how many games we have that we do, our force plate jumps. So once again, another safety net, and then we have our connects on day. So our GPS data that they do on the practice gym once again any one of those in isolation doesn't tell me much. But if I have a bunch of them, then I can at least paint a better picture from quantitative qualitative, and then I can go and knit. Pick what I think they're intervention may need to be, and so it's not going to be perfect, not even close, but as long as you have a constant and yours is beautiful. Like you said, Just something simple. You get daily. Hey, how are you doing? And you know how they express that. I'm doing good. I'm doing good. I'm cool. I'm great. Like, you know, what there was in flux is are like, you know what? They're how they're truly feeling. Just based off that one question alone. But once again, if you can set up your system or your program or whatever toe have safety nets for your safety nets, then I think you can You can catch a >> lot of those along the way. >> Yeah. No, that makes sense. It's how you provide context to a situation. And the more information that we can apply that we didn't classifier more to a system like jumping is, you know, your lower body strength and your verbal expressions, your most emotional state on DH, maybe even sweep or other things that go into that, the more we could understand what's actually happening to the person. So I was kind of really bad for a second. You said some of micro dose in and term overdose. You refer into training a little bit often. Yep. And Corey is well known for this and for those at home listening, I'm going to my best to explain it. Short weeks. I got a question off of it. If you know, explains it will stay here for another hour and a half because great to listen to. But I want Teo a little bit of a different direction off of athletics about it. Firstly, micro doses the idea that we're applying a moderate level toe, low level stressor consistently, and that adaptation occurs from the aggravation off those dresses over a period of time. So we're never going to Hi, we're never going to low. And the idea is that training in the weight room is only one small piece of your life. They even programmed High Day, and you don't sleep that night or you have emotional stressor for your case, your practice. Then all of a sudden, that high, big, magnified and starts spilling over the bar and becomes too much the idea of micro dozing, especially a non controlled external environment where it's called life, and we're trying to apply enough that you can handle. If someone's feeling good, then they can push a little bit that they themselves. Now My question for you, Cory, is I love an athletic sense. I also see it being very applicable to anyone out there general population and especially in terms of I got two things. Us too. In terms of one, someone learned a movement. You get a chance to do it often and daily and someone who wants to learn how to be in the weight room. And secondly, because there are, let's say we do it eight out of ten days. If you only miss one day, you're only missing ten percent of your entire workout, right? So instead of doing looking at this whole one workout one day, you look at like a ten day period. If you got eight days of pick from and you just can't do one, you only missed ten percent versus if you only had five days of pick one and you miss one, you missed twenty percent, right? And so now we have the ability to be more flexible in our environment. So how does that fit in like a general population? If it was my dad or my girlfriend trying to learn howto use some of this micro dose in the weight room. How do you plan? >> So one hundred percent with micro dozing. The reason why it came about was it was a solution to a problem. My problem is I don't have enough exposure to my guys. So how do I create more training frequency? And now we got rid of warm up something that was just kind of getting them ready for practice. That kind of don't care about it. The coach hated seen me do it. I personally hated doing it. So now it was a solution. What it turned into was motor learning. Now you want to learn how to train, will do it all the time. So that's where complex comes in. It's the value of orcs work, right? So basically, you take a bar bill and you do every movement that you would do in a weight room, in some sense, in one set, so you'd hinge You do a hip flexion. You do a press, do a pool. If I break down each one of those into isolation, it would look like already else Squad, Polish, military, press or row, those air all movements that you would do and if you separated each exercise in an isolation you would go more resistance on, just like you would see in general fitness, right? Like we're going to do three sets of ten on bench press or three sets a tent on back squad. Well, that's great. How about we just put it all in one and now we have more exposure. So now I'm learning how to do the movements, and then you can't tell me that doing one thing once a week is actually going to make you learn the movement. So now you learn those little small video sequences that you see with thirty year experience power lifters who truly understand, like, move from body, this foot stance, or this is how I start to hinge here within my squat X degree. And that's how they perfected is because they have so much exposure to it. So we're doing the same thing. We're just trying to create exposure at lower thresholds and and in doing it often now as faras general population, what's the number one concern? But I don't have enough time. Oh, really? You don't have a thirty minute today, twenty to thirty minutes a day to not kind ofwork. Now. Every day I call B s. I say You just don't want to train. So that's where my producing to me is beautiful in the general population is because it's living the way you start your day. It's lunch, or it's when you get off work. Perfect. You can pick any of those three slots twenty, thirty minutes. You can eat and shower and get backto work or before work. So you can't tell me that everybody doesn't have that situation. So now, creating training frequency, you're getting enough volume throughout the week. Now we have on and then most importantly, like you brought up if I just had to miss that one day, it's ten percent of my training like it's not well, only train twice a week, So fifty percent of my training is gone. So that's where I think it's beautiful. And that's where he could work from general population to the most elite athletes in the world and the reason why I say the most elite athletes in the world because I just so happen to train to of So I do it with all these populations

>> And one topic. I want to get onto that. You mentioned it up and you opened the can of worms on this. So I blame you. His blood flow restriction training you called B F R. And Freeman listening chases the well, the most well versed individuals in this area. I was, I learned from him probably weekly on it, and I get studies from him. I used to be daily. Probably. It will lessen consistent now, because he's probably realizing that I can't read that fast. But I'm gonna chase to talk a little bit about some of protocols that you used be a far and harder you can use it for. Not yet. That's like development for individuals who might just be seeking an alternative way to work out whether the older adults, people who travel on the road and what it does physiologically for not only muscle growth, but the tendon thickness, like you said, and some of the other other >> protocols. Such a cellular swelling protocols. >> Yeah, yeah, I think you know, the one thing I would say about our previous of conversation with incense Thing is, I'm not telling people not to take him out like running around saying that that's the devil and all that. So I make sure that I'm not like one of those zealots about that stuff. It's it's just Hey, do you need it? You know, like this, that thought process is critical. Is this necessary? Not let me just problem cause I'm sore today, right? I think that's the caveat I want people to walk away with is that everything is necessary if it's necessary. And if it's not, is there a better alternative, or is it just part of life? Is that part of being a division one athlete or, you know, somebody who's recreational? E fit is you're going to feel a little sore and tired. Is it necessary to take that pill that made negatively? Thank you. So I think that's one thing I want to say, but kind of moving on to the >> You are not a dealer. I will vouch for it. Yeah. Interesting topic to talk about. And I give you credit for being open minded on both ends. Yes, everyone was concerned. >> Yeah, Yeah, I want to throw that out there. But I think with the Bee Afar stuff, it's I'm so ill. I've learned a lot from the man. Dr Headless Sarah. Hey, Works is Smart tools company, which they're just absolutely revolutionising how available and the education that's associative willful restrictions. So I you know, I I'm gonna kind of pass on that credit and say that, uh, they're really pushing the field forward, and I'm not affiliated with the company. I just think what they're doing is is fantastic work, because local restriction obviously has been around for a long time. It's not new, you know, we're not pretending it's new, but you know, it's really the availability of cuffs for sort of affordable prices has made it seem no refreshed and kind of a new life to it started in the late nineties in Japan, really doing a lot of the early research on it. Ah, lot of people started with tine off with different straps and and, ah, bands that they're just wrapping around their arms and looking for, you know, in a partial occlusion and some cases probably dangerously a full ischemia. But I think you saw it. And most recent years, with some of the owns recovery and the Delphi's, which come in a pretty high price tag and as I mentioned, smart tools has come out. They have much more affordable. I think it's, you know, a tenth of the price. And so now you're able tto. But these types of you know it's tool and everybody's hands. And I think it's is changing the landscape as faras, a modality that has multiple uses. And that's one thing when we talk sports science, we talked technology. You know, everything has a time in place. But when I look and evaluate and vet out technology, or whatever we're going to bring on is as a new resource. I always looked forward to have multiple uses, doesn't have a bang for your buck, and I think the blood flow restriction does. It's versatile. It can be used in rehab. You can be used to build muscle confused for strength. It can be used as, ah, activity potentially ater so you can use it. Potentially increase your subsequent performance with an acute time window. You can use it as a recovery tool, so I think the the utilization of it is still we're learning about it. There's still no definitive. Here's how this happens in this sequence but I think that's what Everything right? The human body. We're learning so much about it. But the science that's there has proven that low load with local restriction, where we're including one hundred percent venous return, but partially including arterial inflow. So there is blood flow going into the muscles and the periphery, but there is no blood flow returning, and so it creates a cooling effect. We're essentially you're gonna limit the availability of oxygen. You're going to decrease the pH and more acidic. You're goingto deplete foster creating stores. You're essentially going to run through the size of principle and use up small of slow twitch fibers and skip essentially rights of fast switch fivers with a low load or even a non loaded exercise. So I think when you talk about somebody who's got limitations, maybe they just had surgery. They can't run. They can't have the impulse of the impact that you would need or you would want to see toe. I kind of developed the most cultures. They come back. Little restriction is a great way because takes a low load exercise and you realise, is that restricted bowling and you get a subsequent fast, which adaptation? So you're you're simulating the big boys, the ones that move us, the ones that make us jump and run faster. Ah, and I think you're seeing time Windows of adaptation that air a sixth of the time Faster, you're getting strength. And I purchased three Adaptation in two weeks, whereas in traditional resistance training it was taking eight to twelve. Um, so And when you talk about, I had an athlete rolled her ankle and I want to make sure that they're not having atrophy is they walk around in a boot. I need to make sure that the muscles around the knees and the hamstrings, the name of the elders, critical drivers and sport aren't just wasting away. So we would have athletes obviously in the rehab sitting, doing protocols to develop muscle but also just sitting the act of just sitting with occlusion passively not doing anything has been shown to cut atrophy by fifty percent. So it's fantastic because it's not invasive. You're not doing anything into him. They're just sitting. So, uh, we don't you know, promote them to play on their phones constantly, but they can sit there and have their phone out and, you know, twenty minutes goes by and they just hopefully of, you know, benefited their return to play and a, you know, a faster, more efficient way than just sitting around. So lots of lots of utility for it. >> Interesting. So for those not familiar bloodflow restriction training the way it works, you gotta cuss. Arms hopefully cast. Not just, uh, elastic band, you tying on. But that's how I started originally from Kat to training out in Japan. So it's a cuff. The attach is approximately on the whim, typically by the shoulder or up along the thigh, and it includes the amount of blood so reduces the amount of blood. Don't go into the muscle, which then allows these Siri's of physiological effects that chase alluded to. That is a difference between Venus and arterial occlusion and chase in. Regards to that were Some of the specifics are for people who aren't as familiar with blood flow. You rattle off a bunch of stuff regarding blood flow and from the adaptations of it. But people who aren't familiar with it you measure the occlusion through Doppler. I believe Smart tools uses a remote Doppler. They're attached to you on the distal limb and everyone using this, what percentages do use? How do you know what you too much occlusion that to type that not tight enough. And we're the protocols that you use once you have the right conclusion for that limb to increase some of these hypertrophy, some muscle growing activities or, you know, just sitting there play on your phone activities that reduces hypertrophy for your athletes. >> Yeah. So what you're doing is you're actually going to take an external Doppler or something that's gonna allow you to magnify the sound of the pulse, right? So if you take radio pulse, you know, right here you would replace the Doppler on it. You would actually be able to hear the heartbeat as it from service, >> due stew, stew, sh >> and up top. They're wearing the cuff. You're going to slowly start to inflate it. It gets tighter, tighter, tighter. And you will eventually get to a point where that, uh, false will start to fade of >> this dish dish. >> And it comes to a point where it's non existent. And so that's when you know that there's been full arterial occlusion that's there one hundred percent. There is no blood flow into that arm. There's no blood flow out. It is included. And so research has shown that basically anywhere from thirty percent in ninety percent, you're gonna have the same amount of occlusion. So if I was explained that, ah, a little bit more detail is so I'm going to take that one hundred percent occlusion number. So if you've ever done your blood pressure and the typical one of perfect blood pressure's one twenty of Brady and that's the same device we're going to use I mean its's stigmata. I'm anemometer the tough one to say, um and you're going to get a number up there like, let's just say two fifty. Alright, so that's your hundred percent occlusion. What again research has shown is that in thirty percent of two. Fifty all the way up to ninety percent of two. Fifty, that's the sweet spot or including arterial, that actually doesn't improve occlusion as the higher you go. So we stick to fifty percent. So, you know, fifty per cent of two fifty is one twenty five. And, ah, you're goingto have Justus. Much of you did it at ninety percent. And really, the differences is pain perception. Because if you start getting up one hundred percent inclusion and telling somebody to exercise, they're not going to like it. It's not going to feel good. So it's a nice sweet spot of saying, Hey, we have included Arterial but not fully restricted, but we have researched it, Venus. But we can still move and be act on DSO with that what you're really looking to do. There's a thirty fifteen fifteen fifteen protocol that's seen pretty commonly, but ultimately you just need to fatigue the muscles. Ito have a low load exercise that's done for high volume, typically fifteen plus wraps for multiple sets with a minimal respirations. So what we're trying to do is we're trying Teo, allow for blood to be flung, pumped into the muscle. You're goingto actively, you know, contract. Over time, it's going to stimulate fast twitch fibers. You're going to rest for a very short period. More blood flow is going to go to the area. It's gonna keep getting more acidic. It's going to keep activating Mohr fast twitch, and you're going to just repeat that. And so I mean it really, really magnifies the response of typically a weight or resistance that would be almost no impact on you at all. You would have no performance benefit from using a weight that light. So you can really use it as you know, when I was in a rehab setting with an athlete who has very little capability to handle load. Or you could use it as a finisher in your body builder. And you wantto stimulate ah, muscle group that's lagging, and you really want to build it up. Ah, it's the fantastic thing I think about It is it's a minimally damaging activity. And what I mean by that is that you're gonna have a dramatic reduction and creating stores of CK levels. Lt's myoglobin. You're not going to get the same mechanical breakdown that you see what too difficult resistance training when we start talking about internal load and H R V. If you were to substitute and in season lift with the Afar, you're still going to get strengthened and have virtually adaptation without the potential systemic load. That may be a typical resistance training session. Does the now you start talking about minimizing, uh, internal responses? Bye. Still getting annotation, so it's it's pretty, pretty amazing. >> Yeah, that's that's something. So I've seen personally as well. I use smart tools, smart tools. I'm not feeling it with a big fan of whom, because they made it affordable for individuals like you, of myself actually use them. So we're talking about occlusion. We're talking about reducing amount of arterial occlusion, but not with the amount of Venus inclusions here allowing blood to pool. It's an extent you get large amounts of violation. You increase the amount of capital area is in that area, but you're also not breaking down the muscle in the same way that you would otherwise. So we're lifting a heavy load. You have the fibers himself begin to essentially tear apart. Your body has to rebuild these, but now we're increasing hypertrophy, so growing them also, without having to have this break down response in the muscle itself. But that being said, the loads that you're using are also twenty percent of your one rat max. So a very, very light load you're using to fatigue. How does that affect the tendon itself? Because one thing I've noticed personally, this is I'm not I'm not saying you should do this, Okay, this is what I did and maybe stupid or whatever you wanna call it. I had a really bad Tanaka, the issue of my knee where I couldn't play basket. I couldn't go upstairs well, and I didn't be afar. Traditional trailer at tempo work. But when I started doing be fr low level plyometrics when I started inducing some of the shearing forces on the tendon to increase adaptation that area that otherwise might not be there with a >> low load, >> I started Teo see much better results in my knee compared to some of the tempo work. Do you do anything specifically with B a far that might target attendant outside of the traditional thirty wraps, fifteen wraps, fifteen reps. Fifteen reps with >> a low load. >> Yeah, yeah, absolutely. I think you know some of the ice of measures that we talked about when you were working in Stanford and having that Anil Jessica effect. So having the ability to have the mitigation on acute windows of what, fifteen, forty five minutes, but also the college and proliferation. So you're getting an increase in human growth hormone that there's like one hundred seventy percent times greater after ah workout, which we know. H gh doesn't necessarily build bigger muscles, but it does stimulate collagen growth. So when you're having somebody who is maybe coming back from a ruptured Achilles or another, you know IDA cirrhosis issue, You know, it's a great way to help promote and environment and maybe in a vascular area and the kind of forces, nutrients and a hormonal shift that may promote a more appealing environment. I think you know, we talked about it briefly. The training piece, I think you know, the more that you can start to get people into. I'm not overly dramatic, sport specific person, but I think the more you can get people into activities that are going to be replicated on the field, know whether it's sled pushes and walks or whether it's, you know, having some type of, um, you know, activity. If your picture where you're getting your arm through these range of emotions that are going to be necessary while using the inclusion is actually gonna promote a lot of ongoing benefit. I think toe rehabilitate the area on a functional manner and develop not only the musculature, but also remote the properties around that specific tissue that needs to be healed. So I think there's some really cool things that are just now kind of being played with Just because we can actually die. Elin, the proper collusions. We can actually die. Elin. What we want to see happen with you whether it's, uh, some of the cells, whole protocols that we're doing are these giving preconditions. Bread falls. Where were haven't athletes sit for extended period time passively with their occlusion of set? And then they're gonna reap, refuse. We're in, Allow blood flow back, and we're going to do that repeated intervals prior to activity and see a potential for increased power output. Oxygen. Connectix. The research is pretty amazing with some of the human reconditioning and that they're saying, um, increase time to exhaustion, decrease time trial performances. But they don't really know why. You know, there isn't like a clear mechanisms for performance gains that's been totally identified just yet. There has been stuff where it's shown to attenuate lacked eight levels. So you're obviously no cellular. Respiration is enhanced because you're not getting that amount of hydrogen present in the blood. So you may be potentially more efficient energy user using more, more fat and oxygen, so that's great there. But I think you know, as the research are sketching out, that piece is that's one thing that I'm looking at doing for my research focus for school. Is that potentially a shin piece? If I'm already going to be sitting around before a game, or I'm gonna have time between events like a track and field event are, you know, Cool event. And I know I can sit here passively, not use energy, provide a stimulus to the body that's gonna potentially open up neural pathways or physiological mechanisms to increase contract ability of the muscles. I'm going to, then maybe get that extra tenth of a second. I'm going to throw an extra, you know, a couple feet on the javelin. I'm going to do whatever I need to dio potentially at a higher level. I think that's really as we're pushing towards performance. Why do you take, you know, choose during the game like you want increase performance, you want to run longer, and I think this is going to add one more a little layer to it. That from an investment piece is minimally invasive is minimally changing to their to their schedule. They're not. They don't have to do anything crazy. They feel good. And that's the biggest thing. Is the anecdotal feedback on it is man, I feel great. I feel like I have to I don't have to do a full warm up. I feel like I can just kind of get out there, move around. We still have him do stuff, but they just feel like they've warmed up faster. And I think of that piece is gonna be really cool to see if we can demonstrate some of empirical evidence on it. >> Yeah, that I'm excited to see the research, >> and I know you're working hard on it. >> It's kind of a great stop. Making Brava kind really brings us full circle because you look at be fr it, increases their sit in the area and lacked a production and increases economic nervous system arousal, which has been shown both to increase cognitive abilities. Um, neural plasticity and ability to enhance memory. And so why you're doing this? It's also the only prime main the body for the coming activity. We also prime ing the body is a hole in regards to it's mental capacity and not just the muscular area. And so when you start looking at that, you know, full system, the human body and how we can talk about a little bit here, some dynamical systems where you know the body is really complex. What happens in one area affects another. You can't differentiate between your physical mental side because the physical side of the Afar is now enhancing your mental side. Just like your perception. Ten hands a workout. And so you have feedback up and feedback back down. And that's just a great, you know, highlight You brought up because now it's really inclusive. Were we're so often thinking this isolated manner. Oh, if we've been to this or we run this, this will happen. But we don't think about it in this recursive loop manor where what I did to my muscle, right, our muscle releases these myo times. I go talk to our brain, which then go back and talk to our muscle. And we have the endocrine system working together to orchestrate this all and just the whole idea of be a farm for a game It's not just right the muscles and the scheming Preconditioning, but it's also a fact that you're putting the person in a state That's more conducive. Two performance itself, because so often and this isn't to go on a rant and I apologise. And this is something you buy a top about, right? Avoiding the sympathetic states, All right, we don't want to be sitting there before game doing deep belly breathing because we need to be ready to roll. There's a reason why you get excited in these situations and a really excellent full loop example. How Don't comes together there. >> Yeah, I think one last little piece with that, too, is black. Tate has been shown and exercise of a specific lactate now to have been associated with BDNF, right? So that brain derived neurotrophic factor that exercise stimulates like Miracle Gro for the brain, >> and that if >> you're sitting around watching, you know, lecture for an hour, get up to ten SWATs. Walk around, and all of a sudden you have a renewed focus. And so with that to your point of it's all connected is you have an athlete who essentially is going to get a benefit from that. But we're also, you know, and there they'll never watch this, so I'll say it. I do planting that placebo. My burbage is really, really careful. And hey, just so you know, you wear this attempt ten, fifteen minutes before you do some ISOs, your ankle will feel better. It has an ability to mitigate. Think like him. Planting that sense of this is gonna work because we'll see Bo Effect works. We know it does. So there's a little bit of, you know, mix of art and science and how we imply these technologies and saying they like, Hey, Logan, just say no, you wear this before that game, your ankle will feel better. You're gonna feel looser, going to hell faster and just letting them roll with that and don't need to tell him anything else. And I think that to your point of it's all connected can then maximise whatever intervention you want to, then increase performance. >> Yeah, and I'll avoid a rant here. I'll keep it short, I promise. But what you hit on? Perfect. Especially since that. Look at some of studies regarding attendance, they'll look at it and see that the timid itself is healthy, yet they feel pain, and they've done lost studies where they're saying an external stimulus. So something like a metre gnome in the background going Ping Ping Ping and you're focused on the stimulus instead of the pain. And you now begin to de associate your knee with pain because the stimulus and regards to the tempo that's going on the background, you're doing it. Why didn't exercise So now? Because you're focused on this external stimulus fall during exercise, you begin to disassociate pain with your, you know, near tendon during that movement and just really shows how coupled the system is and how our brain talks your body body. And if we perceive that we're healthy right? You said, Oh, mixing the heart and the science while you're mixing the science of the science, right? Your you understand that perception is reality is not necessarily. We like to call it art because there's no number to put behind it. Really. It's, you know, the science that our body is deeply into connected and how are neurons from the brain talked to our muscles? Are muscles tough back to our brain are all essentially one and how everything from your nutrition, your perception to your stress from school, you're emotional state, whether you got a text message from someone that made you upset all effects, your internal load off the body itself. And regardless of what external only put and no matter how hard you want to work, if your internal system isn't able to handle the stimulus they're going to put on it in terms of the load you're going to give then what we're doing is it? It's really falling short of what we're actually trying to accomplish because we're essentially using external load to infer what's going on. But there's so many things that go on inside the body outside of external load that we're only using one system to monitor the internal system. We're kind of I was a falling short, but not maybe doing all that we can. >> D'oh Yeah, I mean, I think the you know not to rant myself, but that's one of the biggest mistakes that we as a sissy practitioners make, is the assumption with general adaptation Centrum theory that you're getting people and that they're adapting at the rate into the dose that you think is appropriate that we're making that assumption as to where they're at. So when we say, Oh, they're at home, you know, stasis. And we're going to apply to weeks of ah loading scheme, and then we're gonna unload, and then we're gonna push it higher because they're going to super compensate. I think that is a load of crap. I think that we want that to be the case because we want to feel justified and feel good ofwhat we d'oh. But in many cases, you really have to dial in all the factors associated with overreaching all the factors associated with performance and mix them and have checks and balances to see truly, if somebody is where you think they are and if you got them where they are and if not, what was the reason why was there an energy insufficiency? Was there a Micronesian problem? Was there associated stress damaging the functioning, The A access All those things have you know they come in to play, but we are so rigid and and a lot of our thinking me included Holy, guilty. This we work in four to six week block. So yeah, you know, my own load is gonna be a three week three. Well, maybe your own unload should be a week nine. You know, like, how do you know that they're not ready for Maura. Maura, Amore. Um, you know, so that I think that assumption of not necessarily taking into consideration that connectedness between all these systems Ah, can get us into trouble to make us have false positives. I think I think we really congrats pawn the stuff that's not there >> now, that's that's couldn't be said better because we like to make it simple, because we can understand Simple. And when we make it complex, we realize we don't really understand that much. But the more we appreciate as complex, the more we can appreciate how applying something simple, like we think a load ten push ups really isn't as simple as it may be. And that at times, can cause paralysis by analysis. Where you have so many things >> going on at once and to consider I'm not saying that we just sit there and measure every single subsystem. I know you're not either, >> but the idea that we need to appreciate that and see where can we maybe refer. Teo, Turn, Tio. That isn't just in the lane off. How much weight do we lift? How much low do we give someone But what other factors could be involved and that athletes life. That's not getting the results that we think this external load should be leading. Tio, it's a great check engine light, because now we have this external load. Hey, I expected to be here in three months, and you're not there. That's okay. Who knows whose fault it is? No one's. But the idea is that now we can turn different people because we didn't see the expected results. We can dive a little deeper, and that's allowing us to utilize our resource is whether it's a friend. You know, a doctor. You know, another practitioner, you know, to help arm us with the information to be the best that we can be. >> Yeah, I think that's what the external load comes in, right. You gotta know if they're not meeting expectations or the desired outcomes. No. Are they typically matching people in practice? You know that are similar positional demands. Are they typically being asked to do something that isn't looking normal? That would then we can kind of backtrack and see how they were doing it. What the fuck? Jack is associated with an internal load work, and again, we don't. We don't monitor everything. We don't think it's necessary. We try and find what's appropriate for his team and scenario. But I think again, if you're mindful and you know you're athletes and you know the scenario of what you're trying to put them in, you can then kind of use your your coaching, I to say, Okay, what are the things that I think may be influencing? Yeah, providing Malad a patient, you know, orange, the desired stimulus, you know, desired outcome. Now, what are we doing to them that we should be seeing or think we should be saying. And if I know them, what is essentially a confounding variable to that? >> Yeah, No, that's perfect. You don't assess everything. A because you can't and be known as time. But you assess what's pertinent and you're aware of what's apartment and you act out the check engine light and facilitate where you can now, well said, because I think both ends resettle. Let's be so simple and just do this or let's on Lee do this aspect over here. But when you take in consideration, all of it, you allow yourself to be the best you can be in your position that you're in because you're not trying to solve everything. You just try to facilitate where you can. Yeah, perfect for Chase. And I want to hold you up too long, and I really appreciate you being here. I want to wrap it up before finishing up here. I got, I guess, two questions for you. I didn't send them to you ahead of time so that I can if you don't have a quick answer, that's fine. The first one is it's pretty simple. I'm not going. I don't mean Resource is in terms of O go to Pub Med or go to this paper. But are there any individuals out there that you can possibly listen to or find that you have found the very informative and not just in terms of all that's good information, but sometimes change the way you think about how you do your job. >> I'm talking to you right now. It's a lot of my my thoughts and know how I address of, you know, some of the the bio mechanics and physics of what we're doing. You know, it's definitely not an area that I'm strong in, and I think you've done a great job of putting information out there for the public tio toe, you know, be able to digest an easy manner, man, you know, a public resource. You know, this may sound kind of cheesy and maybe a little bit of roast sci fi, but I still re t Nation and Goto like all those you know, you know, Jim Wendler sites and freed all the Westside stuff. And, you know, I think you can't isolate sports science and sail. It's just Dad are, Oh, it's just, you know, pumping out research out of the lab or Oh, it's physiology or urge technology. I think each practitioners gonna have their own flavour and what they like and what they bring to the table. And I think that we need to cater to that. Each person should say, Hey, this is what I'm good at. These are my skills. I want to learn more about tax and if X s o happens to be baseball and throwing and overhead athletes than you're going to find the Mike Ryan holds air crises and really dive into that. And if you want to know about traditional pure ization schemes and force plays, you're gonna look at the stone stuff. You're gonna look at half, you're going to look at people who are early pioneers in it. So I think, you know, I don't have ah, necessarily a one person go follow, but it's more of a question to the question is what do you want to know about? What do you like? What's something that's really really, you know, kind of hits the button for you and then just start Googling stuff start, you know, typing these these keywords in and people will start popping up. And I think that's my development has come has jumped. The greatest, I guess Leaves is when I started diving into these rabbit holes of what I want to learn about right now and just saying for the next two weeks, I'm going all in on, you know, let's see saturation lost muscle from Samo, too. You know, I'm just learn everything I can about my loving and hemoglobin and mad a crit and all that stuff. So it's really more about finding what you want to know at that time and just doing a deep dive and then finding something else, doing a deep that and before you know it, you're times years to that and you have a, you know, a well rounded hopefully, you know, face of knowledge to pull from. >> And my last question for you chase. And this might be a tough one for you to answer the that you are the ghost of social media. Yeah, That the king of the King of trolling my page. You know that you are interested. People are interested in following up on what you're doing. Where can they find more information about yourself? What links or handles either. Twitter, Instagram. Would you advise him to look up into and keep a tab on yourself? >> So the only thing I'm using, as I have on Instagram and at Underscore Chase felt so It's It's simple. It's like toe like to troll you and fight in every now and then. But, ah, that's basically what I got. I got a couple post up there. But maybe maybe if, uh, I get a little help, we'll see how it Ah, how it grows. >> Yeah. I highly advise you guys following him because we continue to push him to post more stuff. I shouldn't be the only one privileged to get his text messages at obscure hours, highlighting some interesting topics I would love for it to be shared publicly. So I'm not being the third party siphoning off his knowledge and posting there. Yeah, well, they could chase. I really appreciate you hanging here and be able to be our first guest again here. The reason why I wanted you on first you quite a bit played a big role in my development and continue, Tio. And we all wish the best for you. Um, it really was great to have you here and thank you. >> All right, man, I appreciate it was a lot of fun. >> All right. Awesome. Well, thank you guys for listening again. My handle here is strong. Sorry. At strong underscore by science. I did that all wrong. It's at strong. Underscored by underscore science. I should know my own handled by now. I use Instagram, I think my Twitter's handles at strong underscore science. Who knows? We'll make a link to it. We'll be sharing this podcast here shortly with different clips as well. For those of you who don't have the attention span to listen to an hour toy mint podcast will die some of this up. So thank you guys for listening. Really appreciate it and take care.

>> All right, Cool. We'll go with the first round of this, and we'll see how the central roles perfect. Uh, three, two and one. All right, I'm here with our guests. Chase Phelps, the director of sports science at Stanford University. Chase has an amazing background, and I was fortunate enough to work underneath him at Stanford. Chase is more than versatile. He has a deep understanding in regards to human physiology, but also the technology involved in monitoring athletes and performance in general. So, Chase, I'll let you take it away here, and I can't talk about yourself and the journey that you tell to get to where you are. I personally heard it multiple times. It's quite interesting. And for those listeners out there is going to be a good experience to hear exactly how someone chases esteem, Got to where he is, how the road's not always quite a straight line. >> Well, I appreciate you having me on II. You must be getting the checks in the mail to have that type of intro because that's way over the top on how good I am with my job. But I appreciate it. Um, so I think for me. You know, it started, I think, for a lot of us being in the gym as an athlete, Uh, you know, kind of being one of those guys has gotta work harder. Teo, you know, catch up with the other people who are coming naturally talented. So I started office of your general meathead in the gym in high school, doing all the dumb lab bench incline bench declined, bench checked back into, you know, all the flies, you, Khun Dio, and kind of started to figure out that, ah, I needed, you know, um or scientific way, I guess toe train myself and started out going to a velocity sports informants and, you know, one of those big kind of box performance gyms and got hooked up really, really lucky. Got hooked up with some people who at the time, I didn't know where were ahead of the game, but kind of started giving me the wise behind, you know, all the things I was doing in the gym and sort of kind of carbon that path for laying the foundation. So to say so I went to Undergrad, play the cross in college, Um, and they're so science piece started the internships to be a traditional sec coach on the floor, huh? I did. Let's see. Old Dominion. Radford, Virginia Attack. I AMG performance. Um, you know, just kind of laying the coaching trenches, laying down in the trenches, trying tow, kind of get myself the experience necessary to move ahead of Attritional SEC coach. So I got really lucky and that I got a job at Hampton University is an assistant. And within about seven months of being there, the director at the time up and left and they had nobody to help out with football, they have to take over. And really at an age that was way too young for me to be in that role, and so that was kind of my first, you know, probably fire experience, being twenty three years old, heading up, you know, the one double a football for him, still division one football team where I >> it >> was pretty pretty novice at the time. And while I didn't mess anything up to bad, it was definitely I would change a lot of what I did at the time. So I looked back on an experience that was extremely valuable. But from there, I actually had a stent where I was unemployed. So ah, little life lesson is, I took somebody's word on a job without having it written out and quit my job at Hampton, thinking I had this position set up and literally it fell through. The guy was like, Hey, listen, it's not gonna happen. I don't know what to tell you. I'm really sorry. So for seven months, I worked at local gyms, private personal training, training athletes on the side. You're basically doing anything I needed to do. Teo maintain coaching, but also keeping income going. Ah, and it's kind of funny because a lot of people don't appreciate that type of setting and the personal training. You're either strength coach. It's not personal training, you know. And, ah, a lot of the stuff that I do now, I still you know, I remember picking out because I was working with the client with rheumatoid arthritis, right? So, like your ability to to regress and a purple issues exercise selections for somebody who's sixty years old and is not very mobile translates very well to return to play in an athlete who just had maybe on a C L surgery on. So I looked back on that time is kind of a weird one in my life, but it was extremely valuable, you know, and my experiences. So I got really lucky. And the networking piece fell together and ended up working with the Naval Special Operations and kind of finding a role in the humor for men's branch. There, Bro is there for a little over three years. I >> it >> was just incredibly lucky to work with some of the people there, Mark Stevenson and and a lot of other guys who are still working there. They're still there now, but they're just they're pushing the field for doing a lot of things behind the scenes that I think really kind of kicked off the sports science. See Dick in the in the U. S and the last, you know, six to eight years on DH. So I was really fortunate toe kind of diversify. My experiences there really start looking at performance and training. I don't want to say like that buzzword of holistic, but just how my diversifying my ability to understand which discipline is doing, whether it's a mental performance coach, our nutritionist or sex, our physical therapist. But how can I better understand those fields, too? Then, you know, make sure that everything I'm doing is complimenting what they're doing on DH. So I was able to land the job at Stanford initially just to run the sports science department. But I also got a little coaching duties. On the side is I work with men soccer. So it's been, Ah, it's been all over the place, you know, traditionally in athletics, but, you know, a little bit of Gen file here. Besides, well, >> so Chase bast fully passed over Hiss lacrosse career, right? And how many was that? Multi time All America. Is that correct? >> I had a couple of years where else? Pretty successful. So, uh, >> and I think that's extremely important to highlight because being an athlete, you deal with all these departments firsthand. You see it from their perspective. And so one thing that Chase has really taught me, I was going forward learning about how you contain to challenge yourself, to put yourself into positions that other people are end. And how do you then think about your actions and what you're going to do as a sports scientist in regard to how and not on ly influences the athlete but the coaches and other staff around him and being an athlete, you firsthand get to experience how it is to have someone else trying to intervene on your daily routine. And that's also mention that Chase is now someone who on what level of ju jitsu he's in. But I know he's tough enough to beat the daylights out of me. And that's something as well has taught me. Is that put yourself in situations where you have to be a beginner again and challenge yourself to have tto learn from Square one. We get caught in these ruts of progress, progress, progress. You go from a beginner. When you first learned how to swing a baseball bat to now you're planned higher level travelling. Baseball is part of your life for myself. Basketball, the chase has taught me, is really embrace those opportunities of struggle and whatever way that comes in its shape and form and put you in those positions. So you have the ability to actually learn from that. And now mention that chase in regards to beat an athlete I think there's many things that we overlook as coaches. We apply the idea of an external load, right. We give them sets and wraps and weights and we write out these long workout for next six months what someone was going to dio. We can't predict the internal load and be an athlete. You understand how it is to not sleep, how it is to maybe stay out a little too late with some of your friends, but how that affects you in regards and athletic setting to reach the goals that you want to reach. So I want to dive in the topic a little bit about internal versus external load. That's something that you really challenged myself to learn about when I was with you. We talked about that in regards to H R V sleep and all the above said, I want to hear a little bit about your take on internal versus external load. What specifically is at turns >> out someone, he said, is being an athlete. I think that goes, You know, it's It's almost like every year that you are in the field. You separate yourself from what it feels like to go through the workouts and the daily grind. So to say right, it's really easy to write up a bard and have no thought process about how somebody feels on day six of a week where they've been pulling all day school two and a half hour, three hour practice our weights and you're like, Oh, man, we got a great dynamic effort. Lower body session finished office. Um, you know, if our glory body squats like you know it's It's just really easy to forget how how things can accumulate and how you know you're just trying to kind of that times get through it all and you head above water. Whereas we're thinking about optimizing, for they may be thinking about Hey, I just need to know what my head down and get through today. So I think it was a great point. But I think going on to the external love peace, obviously the U. S. In the last, you know, six, seventy nine years has exploded trying to catch up, maybe with Australian, The Europe of the world have been, um, really kind on the forefront of this, uh, objective collection of needs analysis for sport. You know, whether that's an external load of what they're doing, the mechanical demands of the sports. So how far they're running? What are the physical characteristics that you see? See environmental capabilities, as in, you know, beads with velocities, where they simply gotta Iran hominy times that they're going to change direction, really understanding the demands of the sport versus the internal loading piece, which you're going to be Howard, these individuals responding to those demands and I think the key word there being individual, we know that certain athletes are always going to be pushed and filtered into sports that there, uh, naturally, good at right. Like, I think we all tend a favor, things that we've been successful at. And as we kind of go up through our broken physical education system, we haven't done a really good job. I think in our country of kind of diversifying and scaling appropriate levels to make sure people are developing and multiple ways we kind of just like, Oh, you're good at this sport. Keep at it. You suck. You're out on. And I think if we were to kind of cater developmental, developmentally appropriate skill acquisition techniques and I'm stealing all this from a classmate of mine, Peter Bergen City proud, I think a better job of scaling, you know, developmental levels. I think you would see Maur athletes come out of that. That would be successful instead of just they only go on the tall guy put him under the basket. Um, you know, you would be able to develop more skills, but back to the internal load piece on understanding that, like I work with Ben Soccer Max, we're talking about this maybe your ago. I have a guy who logged twenty thousand meters in a playoff game last year, You know, that's over twelve and a half >> miles on run game. And he >> had played a game two days earlier and had been practicing for four months. And it comes to the question of like, How does somebody do that? Do that? Do you train them to do that? Do they just follow the program and all of us and they could do that. Or did there, I guess, internal demands to the sport over time. It took years. It took decades and in my opinion, took that after we to play the sport of high level, you know, for ten plus years to be able to get that cardiac adaptation of peripheral ability to be so efficient that they can run and change and cutting jump a tte that intensity. And so an athlete like that that that internal load, you know, they're going to be very, very effective and mobilizing energy. They're going to be very good of providing blood and oxygen to the to the outside of the body, whereas, you know, you take, not tow it, almost four. But like softball, that's a completely different athlete. And so if you were to ask them to have, ah, Despaigne similar demands, we know that internal load would be different. They're gonna have an inefficiency that, uh, you know what, I've election, Amy. A struggle to match the requirements of work or mechanical load that you're placing upon the athletes. So I think you know, it's really important as you start to look at that internal versus external. The external is critical, I think, on a lot of sports were just now identifying what is necessary to be successful on the field as and what they're doing. So you can start it that, you know, backwards, design and work. Your program to say here is ultimately what they have to be able to do. This is a worst case scenario on the field. This is how we should cater our return to play protocols so that we know we're working towards ultimately the ideal player. And that's sports and >> interesting. Yeah, not to cut you off. I did make some clarity here in regards to internal versus external loads. We talked about external load. We're talking about the amount of work someone actually does. Yes. So the amount of weight being lifted, how fast someone's running, how many pages someone can read, Right? And we end the guards, student, one intern and what side? Go ahead. >> It's really what is happening. What are you doing? What? How much of something? >> Something you're applying to the body. And then the internal load is the physiological changes that take place. And so the most basic concept is Hey, we're going to give you a weight program. We're gonna lift X amount of weight for X amount of days with the external load, intending to change the internal environment to grow muscle. And then the more muscle you grow, the more internal load you can handle. So you're adaptive capacity, that big bucket of how much you can handle a life. You become very efficient at handling that consistent external load and you increase your ability, whether it be efficiently or the magnitude. Insides that bucket to handle. A larger, I guess, external load in regards to having a larger internal capacity. And so what you're talking about is when our buck it's very specific Say we're playing soccer and we changed, too, you know, let's say tennis or in your case, saw Hall. You mentioned the softball player would struggle with soccer, and the soccer player would struggle with tennis because those external loads are so different than the internal capabilities of that individual. Is that correct? >> Yeah, absolutely. I think I think the higher level you go you definitely see that specificity of coordinated skills really kind of become a guest. Very nish. And what you typically say and I actually kind of think it's funny because I've said it. So then guilty as charged is that you'll look at a soccer player, you know, somebody who can play at the highest level and is sprinting doing all these different, you know, athletic exercises and then we'll be like, Man, they're bad athlete. They can't skip or look at that spa product. It's terrible and you know, you kind of take a step back and you're like, was the gold toe squatters, the gold toe score goals and play soccer? Um, and then some, you know, may argue. It will, you know, had the longevity of peace or they're gonna be in a more front injury, all that on and at the same time. And I think about that subconscious confidence when you put some money in a gym and a, you know, a new environment where they may not have done these things. They're very aware they're consciously in confident. They're sitting there going, I >> suck at this >> and they overthink it, right, and then you ask him to, like, go out on the field and kick a ball around, and they're doing these things. They're changing direction, which is basically a squat with shen angles changed. Uh, yeah, you know these things fluently without even thinking about it. So it's like their ability is there. It's just not in the right contact. >> Interesting. Yes, they bring up the concept of selling, being consciously aware, right? So they might be in a nervous kind of state. They're not familiar with the weight room, and that actually bring some level anxiety, possibly that true. And that itself may make the weight room instead of ah, use dresser, which is something very positive. It might be a distress, sir, and so they see that waiting is negative. And so now they're nervous toe workout and they have to work out, which makes the internal load even larger. So make this environment that kind of gets magnified. In regards to that. What other factors influence your internal load? Something I mentioned was that stress and obviously their external stressors, especially at Stanford, work very intelligent students who are having to go through rigorous testing in school. And it's a very competitive environment, not just athletically, but, um, you know, the education side as well through those stressors and past internal load. And if it does, how does that influenced the amount? External load? As a coach, you might provide? >> Yeah, absolutely. I think it's always going to be multispectral. It's always going to be. It depends on who's who's the athlete. What's their background? And the supporter? The activity. You're asking to dio, um, the daily life of the twenty two hours that they're not with you. Are they hydrated? Are they eating properly? They fuelling for adequate activity. Are they getting enough sleep? Are they, you know, have a test for their psychosocial factors at play? Like their girlfriend or boyfriend just broke up with him. And I think all those things obviously have an impact Has been Aton and ton of focus placed on this type of, I guess, capturing that whole athlete. Whereas maybe, you know, years ago, you would look at tonnage and now people will look tonnage. And what that stress load is, what that academic load is Because, you know, research is coming out. Now that we know that these types of overloaded stressors and stresses the same stress of you know makes you resilient can break you down. So it's really the improper dozing and inability to cope with that load, and that's dressed, it creates the problems. But, um, you know, you look at athletes who are an exam week, there's research talking about that people hell less efficiently. They have immune issues. So you're seeing people get sick. You're seeing that inability to adapt and cope with the demands that are placed on him, being significantly altered by some other type of factor outside of a weight room or a field. Um, you know, I think the the fact that the collegiate environment is being more aware to that and teams they're trying to push practice in the morning. A little later, they're tryingto manipulate schedules so that its aren't just running straight from class. But they have a little time between do get some type of snack and to some moment to themselves toe. Take a couple of rest before they go out on the flip side, right after practice. Are they running directly into Ah, you know, a test or something? Or are they actually will have a little moments of themselves where they can kind of down, regulate, take everything in and then move on? I think that those types of things, well or not, massive are significant because they happened ten to twenty times every day over the span of weeks in years. And that's really the problems, that chronic buildup of a over activated, sympathetic response that maybe exacerbated by an athletes Taipei, their personalities or type a person. Yeah. Hey, I'm driven. I'm a pi performer. This is what I do, or maybe some of the lifestyle stuff. So maybe that there's somebody who you know is just pumping refined sugars and other body and creating a flux and blood sugar regulation that again mobilizes cortisol, a sympathetic response. And next thing you know, you've just in the span of three hours tagged on six different things, albeit slightly different, that had the same outcome on the system. So that internal response becomes very, very sensitive. Teo, everything you're doing because it's that chronic build up that's really taken its toll on it. >> Interesting. So he bring up the idea of the sympathetic nervous system and the sympathetic nervous system being broken down. I guess being partnered with, I should say with the parasympathetic nervous system, right, that makes up your autonomic nervous systems. So for those you're not familiar. Sympathetic nervous systems, your fighter flight. It mobilizes energy. It's looked at to be very important for survival. If we saw a lion during evolutionary times would help us increase our heart rate, Increased auction supply, mobilized energy so we could run away from a lion. But then we had the parasympathetic aspect. That branch would help regulate rest. And I just kind of the repair and rebuild process. Now, with that, you mentioned the hyperactivity of the sympathetic nervous system. Now, does this get out of whack? Sometimes if you're an athlete, your individual were chronically stressed. And if so, does that affect some of your endocrinology? So how your body responds? And what kind of tips can you have No muse with your athletes or yourself to get yourself back into a parasympathetic state? Yes, >> that's a great point. I think the and not tow to correct you. I think what you're saying is absolutely right. I think the key is, is not constantly counter act sympathetic, but is to bring the body back into a more balanced ability to appropriately turn on sympathetic into appropriately eternal in Paris. Sympathetic and what you typically see, and I said it so I think you're totally right, is sympathetic, does become the primary driver, but it isn't all about just turning on sympathetic. It's it's having the ability to use both when you need it. And I think a lot of times the door or the window to that is to drive parasympathetic activity on so that it can kind of restore itself. Ah, and then the goal. Once you're kind of an ability where you have a little bit more of stability and that is, then tow, have access to both. >> So you talk to me about me. Interrupt chase. But this is something to remind me completely where, if someone is chronically sympathetic, let's say they're in a game situation. This can goes back. That being stressed out, they might have hyperactivity, sympathetic nervous system and correct if I'm wrong, this decentralize is sorry. Desensitize is the frontal cortex and reduces some individuals ability to make decisions, especially when fatigue begins to set in. Because you have multiple areas of stress coming to body fatigue, the actual stress emotional of the situation and in the person's internal Billy to regulate that, that's something you talking to me about? Spoken with me about while Stanford. I found that topic to be extremely interesting and do the fact that it's completely universal. Whether you're an athlete or your individual going in for a job interview, they kind of fall under the same umbrella. Is this the case? >> Yes, excuse me. So I think ultimately it's a fine line, right? So I think the sympathetic nervous system actually has been shown to enhance some cognitive activities, right? So it does increase that acute ability, toe recall some information and at the same time and over driven response of it can almost shut everything down. And that's where you see people kind of like getting up hyperventilating and not being able to perform and really kind of altering some type of, um, thoughtful, logical, rational action. So I think it comes down to two primary things. It's a primary and secondary appraisal, and this is a psychology based concept. But I think it applies basically everything in performance and primary, the athlete, the person. Whoever is going to say what is happening, and this is subconscious and happening in different aspects of the Iranian or not I fell. Missed what? Your body goes, What's? What is this? Right? So I looked at the analogy of you walk into a bar. All right, You scan the bar, You have a very, very fast Ah, action arms. Excuse me? Decision about what is in that bar. Is that a threat? Do you see a bunch of hell's angels with guns and, you know, baseball bats sitting there? Or do you see a bunch of friends? Right, So and then it's that same split. Second, a secondary appraisal happens to the primary. That's secondary being. Do I have the resources to cope with this? And that is really what dictates what type of response and house is going to send. Oh, are the brain will send to the body to stimulate what side of the annulment? Nervous system. Right. So if I walk in, I say what? I don't like this. Tio. Hey, I've been in this scenario before. It didn't go well. That's when that sympathetic sent a kick on because I got to get out of here verses. I walk into that same place. It's a bunch of friends, You know, It's my old buddy from college. You're gonna have a completely different mobilization of your transmitters of hormones. Because of your perception of the stressor is completely different. And you mentioned you stress distress. And I think that that's the case for everything, because, uh, not to go on a rant. But if you if you take an athlete who loves running, that stress of running is completely different than an athlete who doesn't like running right. So their perception of an activity, albeit the same activity, will have a different psycho physiological manifestation of stress or load on the body. And so I think, as we talk about mental toughness with our athlete, even all of that ultimately comes down to have you put them in such situations to prepare them, have confidence in them. And that's what's going to dictate some of these positive body responses that you'll see because they'll walk up to that playing go. Yep. Done this a million times, and that is where you kind of have that mental resilience versus I don't know what's gonna happen. I've never done this before. If I miss, it's going to be the game. Aunt. I think when we talk about all of performance in psychology and physiology. It's so intertwined you cannot separate them, and we like to separate things we like to have absolute. We like to wear a monitor on a wrist or a chest that tells us we're tired or that tells us we've been too stressed. But the reality is, is that the individual differences in perception of stress and my ability, my body's ability to adapt to that stress based on what type of internal environment is kind of walking around twenty four hours a day is going to dictate everything. And that's why it's really tough and in a team environment for us to just blast everybody and say We're gonna stress, you know, we're going to internal load monitoring by H. R. V. Well, that's fantastic and I think there's there's marriage of that. So I'm not saying there isn't what. You better make sure you know a lot about your athletes. You better make sure you have the time to learn about their personalities, how they handle things, What type of family experiences, a fat, what type of things go into them making decisions about what they're experiencing. >> Gotcha. So that I couldn't agree more. Yeah, that's beautifully said one things you mentioned. There was the idea of HRT, but also the idea of perception. So H R v being a reflection on Amit nervous system and compared to your own baseline when your H R V numbers lower means you have less variability that, essentially inferring a higher level of sympathetic drive when you're HIV is higher, infers a more balanced eight or more parasympathetic state, essentially less sympathetic, right? Right. And so we start using H R V, and we talk about that as an internal tool. They also mentioned the idea ofthe having individuals be in situations that are similar to that of sport. Do you think there's a time and place for real time H R V feedback and HIV training? And would you possibly put someone in a situation where they're trying to score that goal? Maybe you fatigued them with, say, a sled push or prowler push and then you have there HIV tank. And they have to perform a difficult technical task in attempt to have them auto regulate that H R V. So they can perform that task successfully, making training and skill development much more specific and begin to messed together. >> Yeah, absolutely. I mean, that's biofeedback. Wanna one, right? That's that's ah, thought technology, heart, math. All those companies out there using that with Forman psychologists to see how people a handle the stressors implied on them. But how did they bounce back? So the military has been doing this for years and live monitoring H R V on some of the operators and then watching them perform. You know, they're training, going through selection and training bases where they have Tio ah, handle extremely dynamic and challenging environments where they're under watch, their being scrutinised every step of the way. And so what we've actually seen is that people who on average, you know it's not. There's anomalies of force. People who take the hit right, so you'll see a drop in H R B or increasing sympathetic tone. They will actually bounce back, though, so having a stressor impact your your your body is is normal. But the ability to rebound and kind of come back to those norms within a relatively quick period of time is what is critical for high performance. You know, they talked about having a five minute or a three hundred feet average prior to that activity to get a baseline. What we found in some of the research coming out now you can actually probably cut it down to one two, three minutes. Right? So it becomes much more, I guess. Logistically feasible. Tohave guys sit around for one to three minutes, kind of collect that boarding for baseline and then go about their day. And that's really critical to get that that daily baseline. Because as we talked about, if you're on day six of AH long week, your body is functioning and flowing. Ah, and kind of repair mode. It's trying to keep up with what you've been putting it through. So each day that you wake up, you are gonna be slightly different than what you do where for. So it's not an apples, apples. You gotta look at your ability to flux in that Alice static load and your body's proactive decision making to try and match what it was doing in the prior day's training. Evolution >> Dacha. So H r v itself. I refer to the check engine light because it doesn't necessarily come from one area and come from emotional you, Khun, Stub your toe. You can have a lower H R V. And some of the things I've been reading about lately and talking to you about office, podcast or text message and kindly enough, you respond to my random texts at nine thirty at night with a slew of articles and ten questions, has been a nutritional side right and the idea of low level systemic inflammation or inadequate nutrition. What I mean by that is, I will put in food into her body under the assumption that this is going to give us a positive effect. Really. Sometimes the food that we put into our body are causing a stressor on our system, because either, eh, they're so foreign to us in regards to weigh their process or be too simple sugars. And them and I mean simple in terms of your eating a fruit loop have an effect on our body that can take us down a road that necessarily isn't positive for adaptation. And just like H. R. V. Is affected by your psychological perception, I've been read a little bit about H. R V is a kind of systemic monitor and how it could be influenced by nutrition in regards that nutritional aspect. I know we've talked a little bit about biomarkers and some of the diving deep into internal medicine and understanding that our body is very complex. It's made of of all these subsystems and how one subsystem acts might affect how another subsystem acts. And as we gain these risk factors of an adequate nutrients status, our overall risk profile increases and the idea that we might have an emergent pattern in terms of illness manifests increases. So I want to hear some of your thoughts on some of the internal medicine where that's going in regards to bio markers for athletics, human performance and just general wellness. I know you're not a physician and you're not ordering bloodwork and diagnosing off blood work. But being a sports scientist, I do think it's important to appreciate and understand some of these concepts, and you have a great indepth knowledge in this area. So I love to hear a little more about it. >> Yeah, no, I think that's an area and by no means a mine expert, right? I just read a lot of things and copy what other people say so I have to always say that. No, that's what we always hang her hat on is that if you go through the research, you're basically taking somebody else's thoughts interpreting to your own. So my experiences with this, our personal and what I've seen in a professional setting and all kind of touched on the personal piece because I think you know, as we talked about being an athlete and understanding what people go through, our own experiences can drive a lot of how we make decisions with their athletes or are clients or whoever working with and that basically, for twenty five years of my life I've been on some form of allergy medicine allergies, shot decongestant Z Pac to get rid of a sinus infection, you name it. I had, I had and I had multiple sci affections every year and not one time. I want your nose and throat, Doctor Otto. You know, allergy specialists now, one time to never anyone ever bring up what you're putting in your body. And you know, it took you know, I went toe doctor Dima Val seminar last summer and it took ah, somebody while he's very good, but it took somebody to kind of like, say, Hey, man, like it's not just isolating the symptom and given you an anti histamine or something like that, you got to think that you're in a systemic state of inadequacy. Your body doesn't have the ability to recognize normal nutrients as you eat things. But then also, it doesn't have the ability to recognize, um, some of the I guess the things that are supposed to be normal now become pathological. And it's just complete dysfunctional cycle. And so for me, I literally just He said, Hey, do me a favor. Stop eating dairy. Okay? Yeah, I love cheese, but we'll do that. And I literally and within three to four days, every single allergies symptom. I had one away. I haven't had any issues for seven and a half months. While legal thing, >> I >> haven't had any issues. Haven't got sick once. And it was just one thing come to find out. I have a lactose allergy. And not only does it didn't affect me like g I distress, but it effects chronic states of allergies. So my body was perceiving things as, ah, the enemy and the immune system was essentially creating that inflammatory response to deal with them s So I think that first and foremost, I started just looking at Maybe people are eating things that they may have a low grade flamer. Inflammatory response. Tio, Um, I was taking and sets staking insides like there were Andy since I was sixteen years old. You know, being an athlete, you get off him a practice, your knees hurt, ankle hurts. Whatever happens, you know, you just take him so that you can, um >> you know, keep >> on going toe to practice. The next day, um, I was taking CPAC's >> is >> taking prednisone. All these things basically put my spotty in a state of in a state of shock to a point where it can actually regulate normal. >> So just take that >> into my work and special environment. And we have athletes who were under that significant academic stress, social stress and the physical stress. Well, we also see is they're just like me. And then they were taken and said they were taken. You know, prednisone. They're taking quarter to steroids for asthma, exercise induced asthma. They were taking all these things that basically is driving the body into a state of alarm where it doesn't have a normalcy to it. So we're not seeing the immune system actually do its job. We're seeing chronic sympathetic response basically to everything that's being put into the body. So with that low grade inflammation that's happening over weeks, months, years, you get that inability to handle external loads, then that's where than internal load becomes so critical. But what once is, maybe a resilient person now they're getting the sniffles every three weeks now they're walking around with some type of tell, ephemeral and an itis. Ah, no. I think that we so easily look at Oh, they landed on it funny and practice. Oh, they took a bump or a bruise for somebody. But maybe that is exacerbated. Or maybe that's highly sensitive due to the fact that the body isn't able to function under normal circumstances. >> No, that's there's a lot of topics in that one dive into you. Um, I guess what is immediate topics that's most applicable for individuals, the idea of in said's and how? I mean, when I was in ah, middle school, I must have taken maybe six, four, five before a game when I was playing, and it felt nothing. Elements. I can only imagine what that's doing to my internal, You know, my, my style making my gastric system and how much to chewed up. Yeah, that's a lot of information that's come out regarding tendon healing and the adaptations of it, um, you've taught me well, I think the first one to bring this to my attention on some of the detriments of and said itself and some of the alternative we could possibly have, such as your human and things that don't necessarily tear our system up. Um, you give any thoughts on that and how that might play a role than Okay. We have this functional medicine world. Now, how do we apply that into, you know, physical therapy. And if we're trying to have ten and adaptations in regards to Isometrics, you might be doing them to increase longevity and reduced to an apathy or for film someone up with insides. Are we really getting the bang for the buck we want to get or we just causing more harm than good? >> Yeah, absolutely. I think you know, you said it right there and that. Are you taking that risk reward on using that, like, a short term? Ah, you know that hill, Teo, is it overriding what you truly want in the long term? Okay, so we talked about adaptation you mentioned Well, we've seen that and sides actually have. Ah, a destruction of satellite cells. So when you're normally building muscle and you're having some of these repair sells, Memento help stimulate regeneration and says, Well, actually blunt that response to Seo X one and two being the primary enzymes associated with that, we'll actually get shut down. Ah, And when they dio, you're literally stopping your body from adapting. Growing. So I talked to my soccer team all the time about I'm like, does it. You guys, You want you're wearing the sleepless shirts. You want to fill those things out? Let's not wait from what already isn't there, you know? And I think you know when we start looking at As you mentioned it, healing in the early stage returned to play. And now I'm never going to say, Hey, you know, you shouldn't do that. That's always up to the doctors and the medical professionals. But I think that there is lack of thought for our long term. Ah, mala dictations. So you mentioned, do we alter college and proliferation for the expense of just taking down some swelling and irritation? Maybe that paper's the response can be better handled by Tylenol or whatever else somebody thinks because I think it's critical. Especially, you know, you see the two different primary types intelligent Type one and Type three. They've seen that there is a blunted response and how that tendon regenerates. And so I think, you know, little things like that. Those conversations you have with your athletic trainer or your doctor and be like, Hey, is this absolutely necessary? I'm not questioning your rationale. But does this athlete need that? Or is there something else we can do? Is going to make sure that when I am doing the Afar or whatever before ISOs to maximize ah tended thickness or tendon restructuring or whatever I'm doing. Are we going to the baby? Out with the bath water? Are we gonna hurt something, You know, for the expense of you know what's easy and what we know from a Western medical model. >> Yeah, that's it. Very interesting moment. Thanks. By the way, I wanna clarify For those not familiar with terminology and says or non sorry, chase, I letyou go ahead there up the real quick and sense of things like ibuprofen and Advil around non steroidal anti inflammatory. Um, what's the d stand for? I'm forgetting right now. Feels stupid. Now draw. Go. Okay. There you go. Yeah, perfect things like ibuprofen and no Advil. I should take like six angel's before I play basketball. Because when it came out, I knew no better. It made me feel better and take more than barrier against coming out that we're really tearing up our system. What's interesting is we look at some of the inflammation studies. You look at older adults. It brings up the idea that as we age, we get in such an inflammatory state. We're taking things like insects, which are known to possibly reduce adaptation shins. And individuals were healthy. It actually increases muscle growth and some of the older adults because their level of inflammation, it's so high systemically that taking something as like an insider Advil, which we think is bad, actually increases adaptation. And they just show I just read a paper. Probably thirty men, too. For this that showed Curcumin has a potential effects to do the same, which might be a healthier alternative to end, says regards to reducing inflammation.

>> Live from Stanford University. It's the Cube covering Global Women and Data Science Conference brought to you by Silicon Angle media. >> Welcome back to the Cubes Coverage of the fourth annual Women in Data Science Conference. This global winds event is the fourth annual our fourth year here, covering it for the Cuban Lisa Martin, joined by Gianluca Pecorino, the director on the Stanford Institute for Computational and Mathematical Engineering. Gianluca, it's a pleasure to have you on the program. Thank you. So the Institute for Computational and Mathematical Engineering. I see M e. Tell us a little bit about that and its involvement in wins. >> Yes, so the status has. Bean was funded fifteen years ago at Stanford as a really hard before computation of mathematics at Stanford. The intention was to connect computations and in general, the disciplines around campus towards using computing for evolution, for starting new ideas for pursuing new endeavors. And I think it's being extremely successful over the years in creating a number of different opportunities. Now weeds started four years ago. As you mentioned, it's part of an idea that the prior director advising me, Margo Garretson, had with few others, and I think the position of I see me at the center of campus really helped bring these events sort of across different fields and this different disciplines. And I think, has Bean extremely successful in expanding and creating a new, a completely new movement, a completely new way of off off engaging with with a large, very large community. And I think I seem, has Bean very happy to play this role? And I'm continuing to be excited about the opportunities >> you mentioned expansion and movement to things that jump out. Expansion way mentioned fourth annual on Lee started This Is three and a half years ago knew that twenty fifteen and we were had the pleasure of having Margo Garrett send one of the co founders of Woods on the Cube last year at wigs. And I loved how she actually said. Very cheeky winds really started sort of as a revenge conference for her and the co founders, looking at all of the technology, events and industry events and single a lack of diversity. But in terms of expansion, this there are one hundred fifty plus regional winds events this year in fifty plus countries. They're expecting over one hundred thousand people to engage this expansion. In this movement that you mentioned, it's palpable. Tell us about your Where's the impetus for you to be involved in the woods movement. >> Well, I think my interest in in data science and which particular is because of the role that I seem years in the education at Stanford. We obviously have a very important opportunity toe renew and remodel our curriculum and provide new opportunities for for education off the new generations and clearly starting with with the opportunity off being such an audience and reaching so many different discipline. It's a very different fields. Helps us understand exactly how to put that curriculum together. And so my focus of my interest has been mostly on making sure that I see me alliance with these new directions. And when we establish the institute, computational mathematics didn't really not have data is a very, very critical component, but we are adjusting to that clearly is becoming more and more important. We want to make sure we are ready for it, and we make sure that the students through our curriculum are ready for the world out there. >> So let's talk about this. The students and the curriculum. You've been a professor at Stanford for a very long time before we get into the specifics of today's curriculum. Tell me a little bit about how you have seen that evolve over time as we know that. You know, we're sort of in terms of where the involvement and women and technology and stump field words in the eighties and how that's dropped off. Tell me a little bit about the evolution in that curriculum that you've seen and where the ice Amy is today with that adaptation. >> Yes, certainly. The evolution has bean very quick. In the last few years, we have seen, um in a number of opportunity emerging because of the technology that is out there. The fact that certainly for data science, both the software and the artwork and the technology, the methodology, the algorithms are all in the open so that there is no real barrier into sort of getting started. And I think that helps everybody sort of getting excited about the idea and the opportunity very, very quickly. So we don't really need to goto an extensive curriculum to be ableto ready, solve problems and have an impact. And I think that, perhaps is one one other reason why we are sort of in a level playing field right. Everything is is available to everybody with relatively minor investment at the beginning. And so I think that certainly a difference with respect what the disciplines, where instead, it was much more laborious process to go through before you can actually start having an impact. Suffering every o opportunity, toe change world to toe come, you know, sort of your your vision's sort of impact in the world. So I think that's That's definitely something that the data science and the recent development into the science have created. And so I think, in terms of our role, sort of continuing role in this is tow Pet Shop six. You know, expand the view ofthe data. Science is not just the algorithm, the technology, the statistical learning that you need to accomplish. A student is a new comet into the field, but also is other other elements. And I would say certainly the challenges that we are that are opposed to data. Since they are challenges that have to do with the attics with privacy on DSO, these are clear, clearly difficult to handle because they require knowledge across disciplines the typical air not related to stem in In a traditional sense. But then, on the other hand, I think is the opportunity to be really creative. Data is not analyzing on its own right. He needs the input are sort of help in creating a story. And I think that's that's another element that he makes data science a little bit different. Another stem disciplines intend to be much more ascetic, much more sort of a cold if you like. I think >> that's where the things to you that I find really interesting is if you look at all the statistical and computational skills as you mentioned, that a good data scientist needs to have as we look at some of the challenges with the amount of data being created. So you mentioned privacy, ethics, cybersecurity issues. The create creative element is key for the analysis. Other things, too. That interest me, and I'd love to get your thoughts on how you see this being developed on the curriculum. Helping is is empathy, collaboration, communication skills. Where is that in the curriculum and how important you are? Those other skills to the hard skills >> that that's That's a great question. And I think where is in the curriculum? I think we're lagging behind that. This is one of the opportunities that we have to actually connect to our other places on campus, where instead the education is built much more closely around some of these topics is that you mentioned. So I think you know, again, I the real advantage in the real opportunity we have is that the data science in general reaches out to all these different disciplines in a very, very new way if you like. I think it's it's probably one of the reasons why so attractive toe younger generation is the fact that it's not just the art skills. You do need to have a lot off understanding of the technology, the foundational statistics and mathematics and so on. But it's much more than that. Communication is very important. Teamwork is extremely important. Transparency is very important. There are there are really all these elements that do not really make that they really didn't have a place in some of the more traditional dissidents. And I think that that's definitely a great way off. Sort of refreshing are way off, even considering education and curriculum. >> When you talk to some like the next to the younger generations. Is that one of the things that they find are they pleasantly surprised, knowing that I need to actually be pretty well rounded to me? A successful data scientists? It's how I analyzed the data. How I tell a story, is that something that you still find that excites but surprises this younger generation of well, that >> certainly is a component, very important component of the excitement of the sea. Are there the fact that you can really build the story, tell a story, communicated story and oven, in fact, immediately, quickly, I think is a is something that the newer generation really see it assess a great opportunity and, you know, and it tried to me. So I mean, it has been very difficult for more traditional disciplines to have the same level of impact, partly because the communities tend to be very close, very limited with with a lot of scrutiny. I think what we have in India, the scientists, that is really a lot off you no can do attitude the lot off, Really. You know, creative force that is >> behind, you know, >> basically this movement, but in general data science, I think that >> you write. The impacts is so potent and we've seen it and we're seeing it in every industry across the globe. But it's such an exciting time with Gianluca. We thank you so much for sharing some of your time on the program this morning and look forward to hearing more great things that the ice Amy is helping with prospective women in Stem over the next year. >> Absolutely. Thank you very much. >> My pleasure. We want to thank you. You're watching the Cube live from the fourth annual Women and Data Science Conference here at Stanford University. I'm Lisa Martin. Stick around. My next guest will join me in just a moment.