Dr. Sylvain Baillet

Affiliation

Professor of Neuroscience at Université de Montréal
Director of Research and Innovation of the Centre Hospitalier de l’Université de Montréal (CHUM)
Director of the CHUM Research Centre (CRCHUM)

Committee membership

Standing Committee on Science

Biography

Sylvain Baillet is a neuroscientist recognized for his contributions to large-scale electrophysiology, multimodal brain imaging, and open science. He is Professor of Neuroscience at Université de Montréal, and currently serves as Director of Research and Innovation of Centre Hospitalier de l’Université de Montréal (CHUM) and Director of the Centre de recherche CHUM (CRCHUM). His work focuses on characterizing the dynamical organization of human brain activity across the lifespan, with an emphasis on the neural dynamics of brain systems that define individual neurophysiological traits, and translational applications in neurological and psychiatric disorders.

Trained as a physicist, he has led research programs at the interface of neuroscience, engineering, and clinical science in Europe, the United States, and Canada. His research has advanced methodological frameworks for brain imaging, biophysical modeling, and data-driven phenotyping, and has been applied to conditions including epilepsy, Parkinson’s disease, psychosis, and Alzheimer’s disease. He is a strong advocate of reproducible and open science and is the co-founder of leading neuroimaging software and data ecosystems.

Sylvain Baillet has held senior academic leadership roles, including Associate Dean of Research at McGill’s Faculty of Medicine & Health Sciences and was Tier-1 Canada Research Chair and Director of the McConnell Brain Imaging Centre at the Montreal Neurological Institute. He has led major institutional and national initiatives in research infrastructure, data governance, and transformations in university-hospital environments. Elected Chair of the Organization for Human Brain Mapping, he is committed to fostering inclusive, collaborative, and forward-looking neuroscience that bridges discovery, innovation, and clinical impact.

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