Dr. Erik Korem is a high-performance pioneer who introduced sports science and athlete tracking technologies to collegiate and professional football teams. Korem has worked with the National Football League (NFL), Power-5 NCAA programs, gold-medal Olympians, Nike, and the United States Department of Defense. An expert in sleep and stress resilience, Korem helped pioneer the use of athlete wearables and sports science during his 16 years working in the NFL, college football, and with Olympic champions. Korem saw firsthand how optimized health and performance could be achieved when data was turned into personalized recommendations so he set out to bring these same elite capabilities to anyone motivated to improve their wellbeing.
Developing a passion for solving the data-to-action gap in the wearable tech and mHealth space, Korem became the Founder and CEO of AIM7, an app that provides customized exercise and wellness recommendations to help prevent burnout, excessive fatigue, and to promote rapid and sustainable fitness gains. Backed by a team of renowned sports and data scientists, psychologists, dietitians, and engineers, AIM7 leverages cutting-edge AI and an individual’s daily input to provide customized and targeted body, mind and recovery daily recommendations and fitness plans, regardless of their starting point. These recommendations layer on top of popular wearable technology such as the Apple and Garmin watch, Oura Ring, FitBit, etc.
As a walk-on football player at Texas A&M, Korem studied exercise physiology and later obtained his Doctorate in Exercise Science from the University of Kentucky. Korem was selected in 2019 as one of the prestigious Presidential Leadership Scholars. Today, Korem resides in Texas with his family.
EDUCATION
Masters Degree in Exercise Science, University of Arkansas
Doctor of Philosophy Exercise Science, University of Kentucky
Kinesiology, Texas A&M University
Publications include
Lyubovsky, A., Liu, Z., Watson, A., Kuehn, S., Korem, E. and Zhou, G., 2022. A pain free nociceptor: Predicting football injuries with machine learning. Smart Health, 24, p.100262. Jung, W., Watson, A., Kuehn, S., Korem, E., Koltermann, K., Sun, M., Wang, S., Liu, Z. and Zhou, G., 2021. LAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards Performance Enhancement. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5(3), pp.1-28.
