My academic training spans both patient-oriented clinical research (e.g., intervention delivery) and data-oriented approaches (e.g., use of appropriate trackers, extraction and summarization of mobile data) to assessment of a range of health behaviors and disease outcomes. I apply a wide range of techniques to elucidate physical activity, 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.