His research aims to develop novel data-driven technologies to improve health and well-being. His work has introduced assessment and intervention tools across a number of health related domains including sleep, cognitive performance, bipolar disorder, and schizophrenia. These systems leverage smartphone and wearable sensors to continuously collect granular behavioral and contextual data, which can lead to better clinical decision making and just-in-time interventions. His work also explores data-driven tools to sustain long-term user engagement and adherence in the context of mHealth. His research has been recognized through several accolades, including the $100,000 Heritage Open mHealth Challenge winner and an Agile Research Project award from the Robert Wood Johnson Foundation.