Daniel Felsky

I am a scientist, manager, and educator broadly focused on the biostatistical modelling of both psychiatric and neurological illnesses, with specialized domain knowledge in Alzheimer’s disease and human genomics. I have training in statistics, bioinformatics, and neuroimmunology and experience working with diverse data types including multi-modal structural MRI, human genetics, transcriptomics, longitudinal clinical assessments, and population-based health outcomes. I am most interested in the intersection of heritable and environmental risk for mental illness across the lifespan and modelling risk and prognosis as a product of all-cause factors using machine learning. I currently lead a diverse group of trainees and staff with backgrounds in computer science, biology, medicine, and social sciences. Our group has a co-leadership role in multiple ongoing studies of clinical populations at CAMH and beyond with other TCAIREM investigators, seeking to develop data-driven models that may improve clinical decision making. I would like to engage even more broadly with the TCAIREM community to understand where opportunities for impact are underdeveloped, to learn about real-world challenges of implementation science, and to offer insight into new collaborative projects where possible.