Our research lies at the interface of the exercise physiology, systems biology, and biomedical engineering disciplines.
Our cellular-level experiments involve systematically perturbing cultured cells with exercise-relevant stimuli, followed by measuring the time courses of cell signaling using antibody-based proteomic techniques (multiplexed bead-based assays, ELISA, immunoblotting).
Human performance and physiological data are collected using field-based measurements from portable or wearable sensors.
We also perform systematic review and meta-analysis of published data for our work in evidence-based exercise programming.
We then apply mathematical and statistical models to the data for estimation, hypothesis testing, and prediction.