We employ machine learning methods using large electronic medical record datasets to identify clinical practice patterns associated with favorable or unfavorable patient outcomes.

Relying on the power of big data to reveal hidden patterns at the population level, we develop clinical decision support tools to personalize treatment at the individual level.

We develop and evaluate personalized interventions to reduce risk of diabetes or diabetes-related complications.