Dr. Dante Goss is a Teaching Assistant Professor in the School of Data Science at the University of North Carolina at Charlotte. He teaches in the undergraduate Data Science and Sports Analytics programs. His research spans biomechanics, physiology, wearable sensors, and behavior change, with a focus on using wearable technology to create better health interventions.

Publications

Goss DD, Xu J, Hertel J. Effects of Step Rate Based Gait Retraining on Running Biomechanics: A Systematic Review and Meta-Analysis. Gait and Posture. 123, 110009.

Xu J, Goss DD, Saliba SA. A Novel Intrinsic Foot Muscle Strength Dynamometer Demonstrates Moderate-To-Excellent Reliability and Validity. IJSPT. 2023;18(4):997-1008.