Dr. Daniel Felsky is a Koerner New Scientist and head of Whole Person and Population Modelling (WPPM) in the Krembil Centre for Neuroinformatics (KCNI) at the Centre for Addiction and Mental Health (CAMH). He is also an assistant professor in the Department of Psychiatry and Division of Biostatistics, Dalla Lana School of Public Health, at the University of Toronto, and adjunct faculty at Baycrest Hospital and the University of Waterloo. He is a full member of the Institute of Medical Science (IMS) and a mentor for the CANSSI Strategic Training for Advanced Genetic Epidemiology (STAGE) Program.
Dr. Felsky received his PhD at IMS and completed Postdoctoral Fellowships at Brigham & Women’s Hospital, Harvard Medical School, the Broad Institute of MIT & Harvard, and Columbia University Medical Center. He was the 2023 recipient of the University of Toronto Department of Psychiatry Newly Established Researcher Prize, currently serves as an Associate Editor at the Journal of Alzheimer’s Disease and Frontiers in Neuropsychiatry, and is a Faculty Lead on the IMS Equity, Diversity, and Inclusion Committee.
Areas of Research
The WPPM Lab (www.felskylab.com) aims to connect disciplines, integrate data types, and train a new generation of mental health researchers who are able to communicate across boundaries and think holistically about their research questions. The group is positioned at the apex of integrative research at KCNI and aims to:
- bridge traditional siloes of mental health research by combining cross-disciplinary data types – such as neuroimaging, genetics, blood biomarkers, psychometrics, and social determinants of health – with cutting-edge statistical and machine learning approaches, and
- conceptualize mental illness and wellness as a product of brain and body, considering the function of both central and peripheral systems and organs.
As such, the WPPM group covers a highly diverse research portfolio including studies of early-, mid-, and late-life mental health, with expertise in high-dimensional computation, neurobiology, epidemiology and biostatistics, and environmental determinants of clinical and social wellbeing.