Clemson University
Ph.D. Student in Mechanical Engineering
My graduate work emphasizes optimal controls and research in modeling exercise fatigue and recovery, with cycling performance as the primary application.
Graduate direction
Clemson has an exceptional Mechanical Engineering program, and the opportunity to continue my undergraduate research was something I could not say no to. The goal is to combine system dynamics, optimal controls, human performance modeling, and athlete data into tools that can inform better training and pacing decisions.
My research centers on modeling how exercise fatigue accumulates, how recovery changes the limits of performance, and how those dynamics can support personalized pacing in a bike time trial application.
Research area
Modeling and estimation of exercise fatigue and recovery.
Current role
Graduate Research Assistant, Clemson University Department of Mechanical Engineering.
Controls emphasis
Applying optimal controls and control oriented modeling to human performance decisions.