Dr. Daniel Felsky is an Independent Scientist and Head of Whole Person Modelling in the Krembil Centre for Neuroinformatics at CAMH. He is also an Assistant Professor in the Department of Psychiatry and Dalla Lana School of Public Health at the University of Toronto.
Dr. Felsky received his Ph.D. in neuroimaging-genetics from the Institute of Medical Science, University of Toronto, and completed postdoctoral fellowships at the Anne Romney Center for Neurologic Diseases at Brigham and Women’s Hospital, Harvard Medical School, the Broad Institute of MIT and Harvard, and the Centre for Translational and Computational Neuroimmunology at Columbia University Medical Center. Dr. Felsky has studied the links between genetic variation and psychiatric and neurological illnesses, with a focus on structural MRI and molecular and morphological characteristics of the brain’s resident immune cells, microglia.
Dr. Felsky’s current research program is focused on the intersection of heritable and environmental risk for mental illness across the lifespan, and on modelling risk and prognosis as a product of all-cause factors using machine learning. He leads a highly collaborative and diverse group of trainees and staff with backgrounds in computer science, biology, medicine, and social sciences. The Whole Person modelling team co-leads multiple ongoing studies of clinical populations at CAMH and beyond, seeking to develop data-driven, biopsychosocial models of mental health that may improve clinical decision making.