NSCA Annual Conference — Kansas City, MO
Doyle BP presenting NFL Combine ML analysis and STASH/ASH shoulder test validation findings. Multiple posters accepted for presentation.
View Conference Info →Performance & Fatigue Laboratory
Where athletic performance meets fatigue science, strength meets data — and the limits of human performance become measurable. Supported by $4,800,000 in DoD-DARPA funding.
Studying Performance Where It Matters Most
Our Work Makes A Real-Life Impact
We investigate how people perform under demanding conditions, measure the factors that influence fatigue and recovery, and translate those findings into practical applications for athletes, tactical personnel, and clinical populations.
Learn More About Our Lab
Lab News & Conferences
$5,000 KNSM Student Research Grant — Burmeier AJ
New grant awarded for "Decoding Neural-Mechanical Coupling: Coherence, EMD, and RFD as Mechanisms of Explosive Force and Fatigue." 2026–2027.
Read more →1st Place — Texas A&M Sport Data Challenge
Ben Doyle and JD Tebbetts won 1st place in the graduate division of the Texas A&M Institute of Data Science Annual Data Challenge. This year's competition challenged competitors to develop novel descriptive and predictive…
Read more →Riechman, Doyle Present at 2026 Huffines Institute Summit
Dr. Steve Riechman and PhD Student Ben Doyle were each invited to present at a recent summit sponsored by the Huffines Institute. Dr. Riechman presented on upcoming initiatives in the Tactical Performance & Thermoregulation…
Read more →Huffines Institute 326: Bridiging Sports Science Research and Practice with Eddie Williams
Texas A&M sports science Ph.D. fellow Eddie Williams discusses with the We Do The Heavy Lifting Podcast how integrated data from sports medicine, strength and conditioning, biomechanics and rehabilitation can improve athlete performance and…
Listen to the episode →Huffines Institute 324: Understanding Responses to Fatigue
Ph.D. student Ben Doyle discusses how biomechanics, fatigue physiology and machine learning are helping researchers build more individualized models for injury prevention and sports performance.
Listen to the episode →TIMS Symposium — “Towards Human Performance Optimization”
Riechman SE presents Dynamic Insights into Biomarkers for Human Performance and Fatigue at the Texas A&M Institute of Musculoskeletal Science annual symposium.
Read more →1st Place — TAMU Student Research Week, Computational & Data Sciences
Doyle BP wins 1st place for AI-Driven Insights from the NFL Scouting Combine: Principal Component Analysis, K-Means Clustering, and Regression for Predicting Draft Position and Status.
Learn About Student Research Week →Lab News
View all news →View All Lab News
See the latest awards, updates, presentations, publications and lab milestones.
Research Areas
Our laboratory pursues four interconnected research directions — each grounded in real-world performance demands.
Neuromuscular Fatigue
Classifying and predicting fatigue outcomes in active populations using electromyography, biomechanics, and biomarker analyses.
Training & Performance Monitoring
Developing novel testing methods and training approaches to optimize athletic and occupational performance and monitor musculoskeletal injury risk.
Military & Tactical Performance
Tracking and predicting fatigue in the context of challenging tasks and environments facing military, firefighters, law enforcement, and first responders.
Computational Human Performance
Developing AI-driven analysis frameworks for quantifying performance, fatigue, and adaptation outcomes across a variety of populations.
Our Team
Our laboratory is led by Co-Directors Dr. Steven Riechman and Dr. Bryan Mann, and includes Kinesiology faculty Dr. Lisa Colvin, Bryan Crutcher and Bo Sandoval. Our team brings together laboratory and applied expertise in kinesiology, biomechanics, exercise physiology, and strength and conditioning.
Interested In Our Research?
Whether you’re a prospective student, potential collaborator, research participant, or interested in our findings — we’d love to hear from you.