We explore the mechanisms underlying heart disease by applying machine learning and data science techniques to capture complex traits in the heart, across diverse populations, for discovering genetic and environmental determinants of health. Our work aims to understand the mechanisms driving diversity in heart disease.

We aim to understand the genetic basis of cardiovascular disease in order to both reveal disease mechanisms, thereby identifying new therapeutic targets, and to interpret genomic information for application in patient care.