Our research includes three broad domains: 1) understanding the genetic and environmental determinants of psychiatric disorders across the lifespan; 2) integrating genomics and neuroscience to unravel how genes affect brain structure and function; and 3) using “big data”, including electronic health records and genomics, to advance precision medicine.

Using genomic data, in collaboration with colleagues around the world, we have helped identify numerous genetic risk factors for psychiatric disorders and have demonstrated that these disorders have a surprising degree of shared genetics and biology.

We’ve also explored how genes effect brain structure and function and its relationship to mental illness by integrating genomics with neuroimaging and neurophysiologic phenotypes.

We have a deep interest in leveraging large scale data and computational methods to facilitate precision psychiatric approaches. This work includes using high dimensional data along with statistical and machine learning methods to identify risk and resilience factors as well as predictors of improved treatment response. Our hope is that this work will improve early detection, prevention, and patient care.