My training background spans both patient-oriented clinical research (in the lab) and data-oriented approaches to ambulatory (out of the lab) measurement, estimation and prediction of physical activity and other health behaviors. This puts me in a unique position to understand and evaluate these behavioral outcomes both from the perspective of the patient (e.g., intervention delivery), and from a data architecture perspective (e.g., use of appropriate trackers, extraction and summarization of mobile data). I apply these approaches to outcomes beyond physical activity, including sleep, physiological outcomes (e.g., heart rate, blood pressure), and psychological outcomes (e.g., stress, depressive symptoms).

In addition to my own research, I advise graduate students on wearable/mobile data-related research, and lead various STEM and data science-centered community outreach events.