Dr. Perlis's research is focused on identifying predictors of treatment response in brain diseases, and using these biomarkers to develop novel treatments. He directs two complementary laboratory efforts, one focused on patient-derived cellular models and one applying machine learning to large clinical databases. These two programs converge in the MGH NeuroBank, one of the largest cellular biobanks in the world for the study of neurodevelopmental and neurodegenerative disorders. The NeuroBank spans more than 400 cell lines associated with detailed clinical phenotypic assessment and links to electronic health records.