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# Guillaume Dumas

Associate Academic Member
guillaume.dumas@ppsp.team
https://www.extrospection.eu
Computational Biology
Dynamical Systems
Medical Machine Learning (ML)
Neuroscience
AI Ethics
Associate Academic Member
Associate Professor, Université de Montréal

Guillaume Dumas is an Associate Professor of Computational Psychiatry in the Faculty of Medicine at the Université de Montréal, and the Principal Investigator of the Precision Psychiatry and Social Physiology laboratory at the CHU Sainte-Justine Research Center. He holds the IVADO professorship for “AI in Mental Health”, and the FRQS J1 in “AI and Digital Health”. In 2023, Dumas was recognized as a CIFAR Azrieli Global Scholar in the “Brain, Mind, and Consciousness” program and nominated as a Future Leader in Canadian Brain Research by the Brain Canada Foundation.

He held a previous appointment as a permanent researcher in Neuroscience and Computational Biology at the Institut Pasteur (Paris, France). Before that, he was a postdoctoral fellow at the Center for Complex Systems and Brain Sciences (FAU, USA). He holds an engineering degree in advanced engineering and computer science (Ecole Centrale Paris), two MSc degrees (theoretical physics, Paris-Saclay University; cognitive science, ENS/EHESS/Paris 5), and a PhD in cognitive neuroscience (Sorbonne University).

His research aims at cross-fertilizing AI/ML, cognitive neuroscience, and digital medicine through an interdisciplinary program with two main axes:
– AI/ML for Mental Health, creating new algorithms to investigate the development of human cognitive architecture and to deliver personalized medicine in neuropsychiatry using data from genome to smartphones.
– Social Neuroscience for AI/ML, translating basic brain research and dynamical systems formalism into neurocomputational and machine learning hybrid models (NeuroML) and machines with social learning ability (Social NeuroAI & HMI).