In the SwimSwam Podcast dive deeper into the sport you love with insider conversations about swimming. Hosted by Coleman Hodges, Garrett McCaffrey, and Gold Medal Mel Stewart, SwimSwam welcomes both the biggest names in swimming that you already know, and rising stars that you need to get to know, as we break down the past, present, and future of aquatic sports.
Ken Ono is the STEM Advisor and a math professor at the University of Virginia. He has worked with the UVA swim team for a number of years, analyzing the minutiae of stroke technique to optimize performance. This has taken form in an independent study, a course that is cross-listed in Data Science, Math, and Statistics, titled Learning Methods for Elite Swimming Analysis. Jerry Lu, a UVA technical performance consultant who has worked with Ono for years, assists with the analysis of the course.
We get the perspective of Ono, Lu, and two of the course’s students: world champions and Olympic medalists Kate Douglass and Claire Curzan.
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Music: Otis McDonald
www.otismacmusic.com
Opinions, beliefs and viewpoints of the interviewed guests do not necessarily reflect the opinions, beliefs, and viewpoints of the hosts, SwimSwam Partners, LLC and/or SwimSwam advertising partners.
Wahoowa!
The individual training plans are very exciting. So much speculation what which regime is right, here the plans are actually informed by data.
It’s great to see how the UVA swim community creatively strives to be their best using all the traditional tools and developing more! Congrats to Dr. Ono and these true student-athletes!!
In Football, Indiana and Alabama are doing some similar, cutting edge things. Data science and physiology/sports advances science and the future across many vitas. More Unis should get involved in a big way! It’s not just sports.
Fun to see swimming through a more academic medium! Thank you for posting this. Congrats to those swimmers who can do school and swim at this level.
Entry list intrasquad blue and Orange?
I did wonder what could have possibly been so different about their visualizations that off the shelf R and Python couldn’t handle that they had to spend years programming. All I saw were very simple longitudinal time series graphs.
Does this mean that there is chance Claire decides to swim 2nd semester for UVA at NCAAs?