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Browse connected research projects, publications, people, lab news, and funding across the lab’s work.
Research Projects
2Unsupervised Machine Learning Reveals Poor Test Validity of the NFL 225-lb Bench Press for Intra-Position Variance and Draft OutcomesCompleted
Applying unsupervised machine learning to NFL Combine data to evaluate the validity of the 225-lb bench press repetition test — examining whether performance on this test predicts draft outcomes and whether variance within positions undermines its predictive utility.
- PI
- BP Doyle
- Co-PI / Mentor
- SE Riechman (Mentor), JB Mann
- Co-Investigators
- ST Stanelle
- Funding
- $800 · Huffines Institute Student Travel Grant
- Timeline
- 2025
AI-Powered Breakthroughs in Human Performance: Synergizing the Education to Research ContinuumActive
Integrating AI-powered motion analysis and machine learning tools into the research-to-education pipeline — developing scalable assessment protocols that bridge laboratory precision with real-world coaching and training applications.
- Co-PI / Mentor
- JB Mann, JM Yentes
- Study Personnel
- AJ Burmeier, BP Doyle, Francisco Aguilar, Faith Gage
- Funding
- $46,259 · AI: Emerge-CEHD, Texas A&M University
- Timeline
- 2024–2025
People
7Lab News
21st Place — TAMU Student Research Week, Computational & Data Sciences
Riechman, Doyle Present at 2026 Huffines Institute Summit
Funding Awards
5$46,259
AI: Emerge - CEHD
AI-Powered Breakthroughs in Human Performance
$25,000
Huffine Institute
JP Bramhall Faculty Research Grant
$6,725
Huffines Institute
Graduate Student Research Grants (x3 awardees)
$5,000
KNSM
Decoding Neural-Mechanical Coupling
$15,000
NSCA
Neural-Mechanical Coupling & Explosive Force (Doctoral Grant)




