Explore

Browse connected research projects, publications, people, lab news, and funding across the lab’s work.

Method: Machine LearningClear filters

Research Projects

2
Unsupervised 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.

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
Funding
$46,259 · AI: Emerge-CEHD, Texas A&M University
Timeline
2024–2025

People

7
Faith Gage

Faith Gage

Graduate Student Research Associate · PhD Student · Kinesiology

Lab News

2

Funding Awards

5

$25,000

University / InstituteConfirmed

Huffine Institute

JP Bramhall Faculty Research Grant

2026–2028Colvin, LC (PI), Riechman, SE (C0-I), Finco, M - TCU (Co-I), Freeman, C - TCU (Co-I)

$6,725

University / InstituteConfirmed

Huffines Institute

Graduate Student Research Grants (x3 awardees)

2024–2027Williams, Doyle, Gage

$5,000

University / InstituteConfirmed

KNSM

Decoding Neural-Mechanical Coupling

2026–2027Burmeier AJ (PI); Riechman SE (CO-I)

$15,000

Professional Org.Pending

NSCA

Neural-Mechanical Coupling & Explosive Force (Doctoral Grant)

2026–2027Burmeier AJ (PI); Riechman SE, Yentes J, Mann JB (CO-I)