His research is focused on improving discovery and decision support in a variety of contexts by developing, testing, and implementing innovative approaches for data integration, patient matching, predictive modeling and other novel data science use cases, including developing novel population health data frameworks supporting fusion of community and social determinants of health with clinical data, as well as leveraging machine learning-based models to improve discovery and decision support in a variety of contexts.
