Dr. Ariel Rokem is an senior scientist with the Krembil Centre for Neuroinformatics at CAMH and a Vector Faculty Affiliate with the Vector Institute. He received his PhD in neuroscience from the University of California, Berkeley, and completed his postdoctoral training in computational neuroimaging at Stanford. Subsequently, he was a Senior Data Scientist at the University of Washington eScience Institute and faculty in the Department of Psychology.
Dr. Rokem was the recipient of the Neuro – Irv and Helga Cooper Foundation Open Science Prize in 2023, as a member of the Brain Imaging Data Structure (BIDS) steering group and the 2024 Organization for Human Brain Mapping Education in Neuroimaging Award.
Areas of Research
Dr. Rokem’s work combines an interest in analysis of brain connectivity with technical development of brain imaging analysis tools inspired by developments in machine learning, computer vision, and AI. His research focuses on the brain's white matter, the long-range connections beneath the cortical surface, aiming to understand how these connections change across development, aging, and disease, and in response to learning or treatment.
Realizing the potential for AI to illuminate the links between brain structure and mental health requires development of new methods, of open-source software, of training paths, and of standards and best practices. Dr. Rokem’s work aims to address both technical and socio-technical challenges, ensuring that next-generation brain analysis methods are developed and deployed broadly, transparently, and ethically. Underpinning this work is a commitment to open, reproducible science. Dr. Rokem's group releases analysis tools that it develops as freely available software that is used by researchers worldwide.
Learn more about Rokem’s research on his group’s website.
Publications
View Dr. Rokem's publications on Google Scholar