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That Triathlon Show - François Modave, PhD - Artificial Intelligence in triathlon | EP#455

François Modave, PhD - Artificial Intelligence in triathlon | EP#455

02/18/25 • 93 min

That Triathlon Show

François Modave, PhD, is Professor of Artificial Intelligence, Digital Health at Wake Forest University (North Carolina). He is also a triathlete with over 30 years in the sport. In this episode, François discusses key concepts of artificial intelligence and how it could be applied (and to what level of success) in a triathlon context.

HIGHLIGHTS AND KEY TOPICS:

  • What is artificial intelligence?
  • What are the different types of systems that fall under the broader umbrella of AI?
  • How do you train AI systems?
  • What are the strengths and weaknesses of AI?
  • Does François use AI-based tools in his triathlon training?
  • How would François build an AI model for triathlon performance if he had unlimited resources?
  • The importance of good data collection
  • What is the potential of AI to support improved sports science?
  • What is the potential of AI in a triathlon context to support improved training planning, strategic and long-term planning, race tactics and strategy, injury prevention, nutrition and hydration, mental strategies and psychology, and equipment choices and optimisation?
  • What are the potential risks of using AI in a triathlon context?
  • Are there ethical concerns or biases associated with AI?
  • How AI could change the way humans work and the role of humans in professional settings

DETAILED EPISODE SHOWNOTES:

  • We have detailed shownotes for all of our episodes. The shownotes are basically the podcast episode in written form, that you can read in 5-10 minutes. They are not transcriptions, but they are also not just surface-level overviews. They provide detailed insights and timestamps for each episode, and are great especially for later review, after you've already listened to an episode. Naturally, as great as they are, they do not cover absolutely everything in as great detail as we can do in a 45-90 minute podcast episode.
  • The shownotes for today's episode can be found at www.scientifictriathlon.com/tts455/

LINKS AND RESOURCES:

WHAT SHOULD I LISTEN TO NEXT?

If you enjoyed this episode, I think you'll love the following episodes:

You can find our full episode archives here, where you can filter for categories such as Training, Racing, Science & Physiology, Swimming, Cycling, Running etc.

You can also find separate archives for specific series of episodes I've done, specifically Q&A episodes, TTS Thursday episodes, and Beginner Tips episodes.

LEARN MORE ABOUT SCIENTIFIC TRIATHLON:

HOW CAN I SUPPORT THAT TRIATHLON SHOW (FOR FREE)?

I really appreciate you reading this and consideri...

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François Modave, PhD, is Professor of Artificial Intelligence, Digital Health at Wake Forest University (North Carolina). He is also a triathlete with over 30 years in the sport. In this episode, François discusses key concepts of artificial intelligence and how it could be applied (and to what level of success) in a triathlon context.

HIGHLIGHTS AND KEY TOPICS:

  • What is artificial intelligence?
  • What are the different types of systems that fall under the broader umbrella of AI?
  • How do you train AI systems?
  • What are the strengths and weaknesses of AI?
  • Does François use AI-based tools in his triathlon training?
  • How would François build an AI model for triathlon performance if he had unlimited resources?
  • The importance of good data collection
  • What is the potential of AI to support improved sports science?
  • What is the potential of AI in a triathlon context to support improved training planning, strategic and long-term planning, race tactics and strategy, injury prevention, nutrition and hydration, mental strategies and psychology, and equipment choices and optimisation?
  • What are the potential risks of using AI in a triathlon context?
  • Are there ethical concerns or biases associated with AI?
  • How AI could change the way humans work and the role of humans in professional settings

DETAILED EPISODE SHOWNOTES:

  • We have detailed shownotes for all of our episodes. The shownotes are basically the podcast episode in written form, that you can read in 5-10 minutes. They are not transcriptions, but they are also not just surface-level overviews. They provide detailed insights and timestamps for each episode, and are great especially for later review, after you've already listened to an episode. Naturally, as great as they are, they do not cover absolutely everything in as great detail as we can do in a 45-90 minute podcast episode.
  • The shownotes for today's episode can be found at www.scientifictriathlon.com/tts455/

LINKS AND RESOURCES:

WHAT SHOULD I LISTEN TO NEXT?

If you enjoyed this episode, I think you'll love the following episodes:

You can find our full episode archives here, where you can filter for categories such as Training, Racing, Science & Physiology, Swimming, Cycling, Running etc.

You can also find separate archives for specific series of episodes I've done, specifically Q&A episodes, TTS Thursday episodes, and Beginner Tips episodes.

LEARN MORE ABOUT SCIENTIFIC TRIATHLON:

HOW CAN I SUPPORT THAT TRIATHLON SHOW (FOR FREE)?

I really appreciate you reading this and consideri...

Previous Episode

undefined - Anna Kiesenhofer - Olympic Champion | EP#454

Anna Kiesenhofer - Olympic Champion | EP#454

Anna Kiesenhofer is the Olympic Champion from Tokyo 2021 in the cycling road race. She is a 9-time National Champion, and a mathematician. In this episode, Anna talks about her training in general, the specific training she did leading into her Olympic gold in Tokyo, being mostly a self-coached athlete for the last decade or so, and much more.

HIGHLIGHTS AND KEY TOPICS:

  • Anna's entry into the professional cycling world, and the burnout that followed
  • Training going into the Tokyo Olympics
  • Anna's extremely hard block training protocols
  • Combining training for the Olympics with full-time work as a mathematician
  • Race planning and executing her plan on race day in Tokyo
  • Anna's self-coaching process
  • Thoughts on intensity, volume, training on the road vs. TT bike, testing and more...
  • Tips for amateur cyclists, and cycling specific advice for amateur triathletes

DETAILED EPISODE SHOWNOTES:

  • We have detailed shownotes for all of our episodes. The shownotes are basically the podcast episode in written form, that you can read in 5-10 minutes. They are not transcriptions, but they are also not just surface-level overviews. They provide detailed insights and timestamps for each episode, and are great especially for later review, after you've already listened to an episode. Naturally, as great as they are, they do not cover absolutely everything in as great detail as we can do in a 45-90 minute podcast episode.
  • The shownotes for today's episode can be found at www.scientifictriathlon.com/tts454/

LINKS AND RESOURCES:

WHAT SHOULD I LISTEN TO NEXT?

If you enjoyed this episode, I think you'll love the following episodes:

You can find our full episode archives here, where you can filter for categories such as Training, Racing, Science & Physiology, Swimming, Cycling, Running etc.

You can also find separate archives for specific series of episodes I've done, specifically Q&A episodes, TTS Thursday episodes, and Beginner Tips episodes.

LEARN MORE ABOUT SCIENTIFIC TRIATHLON:

HOW CAN I SUPPORT THAT TRIATHLON SHOW (FOR FREE)?

I really appreciate you reading this and considering helping the show! If you love the show and want to support it to help ensure it sticks around, there are a few very simple things you can do, at no cost other than a minute of your time.

  • Subscribe...

Next Episode

undefined - Malindi Elmore - Three-time Olympian | EP#456

Malindi Elmore - Three-time Olympian | EP#456

Malindi Elmore is a Canadian runner and three-time Olympian. She raced the 1500 in Athens 2004, and the Marathon in Tokyo 2021 and Paris 2024, finishing in the top-ten (ninth) in Tokyo. In between her middle-distance and marathon careers, she also raced as a professional triathlete from 2015 to 2017, including six podiums in IM70.3 and Ironman races. We discuss her marathon training, how she manages to perform and continue to improve into her 40s and as a mother, her short but successful professional triathlon career, and more.

HIGHLIGHTS AND KEY TOPICS:

  • Transitioning to the marathon as a natural middle-distance specialist
  • A detailed look into Malindi's typical marathon build
  • Double-threshold workouts and race-specific long runs
  • Race tactics and pacing
  • Performing at the highest level and continuing to improve well into her 40s
  • Balancing training and life as a professional athlete with being a mother of two
  • How Malindi got into triathlon, and found very quick success
  • Insights into Malindi's triathlon training
  • Tips for amateur runners and for amateur triathletes to improve their running

DETAILED EPISODE SHOWNOTES:

  • We have detailed shownotes for all of our episodes. The shownotes are basically the podcast episode in written form, that you can read in 5-10 minutes. They are not transcriptions, but they are also not just surface-level overviews. They provide detailed insights and timestamps for each episode, and are great especially for later review, after you've already listened to an episode. Naturally, as great as they are, they do not cover absolutely everything in as great detail as we can do in a 45-90 minute podcast episode.
  • The shownotes for today's episode can be found at www.scientifictriathlon.com/tts456/

LINKS AND RESOURCES:

WHAT SHOULD I LISTEN TO NEXT?

If you enjoyed this episode, I think you'll love the following episodes:

You can find our full episode archives here, where you can filter for categories such as Training, Racing, Science & Physiology, Swimming, Cycling, Running etc.

You can also find separate archives for specific series of episodes I've done, specifically Q&A episodes, TTS Thursday episodes, and Beginner Tips episodes.

LEARN MORE ABOUT SCIENTIFIC TRIATHLON:

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