The Performance Connection Podcast

How can understanding energy systems revolutionize your training methods? In this episode, Evan Peikon, an exercise physiologist and computational biologist who has worked with professional athletes, sports teams, and military special operations, joins to shed light on advances in our understanding of energy systems and what it means for training.

We start by reviewing traditional energy system models and introducing a more integrated approach that reflects recent advancements in research and technology, helping to clear up confusion caused by differing terminology among coaches. Evan unpacks contemporary bioenergetics and redefines training approaches by highlighting the rapid and simultaneous processes of ATP breakdown, phosphocreatine restoration, and glycogen breakdown.

Evan highlights the role of data science in professional sports, where teams use various performance and physiological metrics to enhance athlete performance. With insights from wearable technology that measures multiple physiological variables, coaches can make data-driven decisions to tailor an athlete's conditioning based on their individual limitations.

Time Stamps:

[9:24] How technology innovation is impacting sports performance training

[11:39] The role of energy systems in tissue healing

[17:15] Reevaluating the traditional view of energy systems and application to training

[27:26] A contemporary model of bioenergetics

[35:51] Cardiovascular adaptations to training and identifying athlete limitations

[47:05] Valid assessment of an athlete's conditioning and application to team sports

[54:06] Using physiological data for training program optimization

Evan Peikon is a physiologist, computational biologist, and entrepreneur. He spent seven years working with professional athletes, teams, and military special operations as a physiologist and data analyst before stepping away to focus on his startup company, NNOXX, where he is a co-founder and chief bioscientist.

Evan holds a bachelor's degree in interdisciplinary biology from Stony Brook University, a master's degree in medical physiology and pharmacology from the University of Florida College of Medicine, and a graduate certificate in applied data science. He is currently pursuing a Ph.D. in bioinformatics and computational biology at George Mason University.

You can follow Evan on LinkedIn and Instagram, and sign up for his newsletter, On Human Performance.

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