Jean-Pierre R. Falet

Jean-Pierre R. Falet

Jean-Pierre R. Falet, M.D.,C.M., M.Sc.
PhD Candidate in Computer Science, Mila / Université de Montréal

Machine Learning Research Scientist, Safe AI for Humanity, Mila
Attending Neurologist, McGill University Health Centre

Assistant Professor, Department of Neurology and Neurosurgery, McGill University

About Me

I am a machine learning researcher and neurologist with expertise in multiple sclerosis (MS). My goal is to design advanced artificial intelligence (AI) systems that are not only safe, but also help solve challenging scientific problems, such as improving the quality of life for patients with disabling neurological conditions. Through this work, I also aim to advance our understanding of reasoning in both humans and machines. My research spans the theoretical foundations of AI, applied machine learning, and the integration of AI systems into real-world clinical environments.

I obtained an MD (2017), completed neurology residency (2022), and earned a master’s in neuroscience (2023), all at McGill University. My master’s, completed as part of the Clinician-Investigator Program and co-supervised by Douglas Arnold and Tal Arbel, focused on developing causal machine learning methods for precision medicine, clinical trial enrichment, and biomarker discovery in MS.

I am currently a PhD student in computer science at Mila / Université de Montréal, co-supervised by Yoshua Bengio and Guillaume Lajoie, and a part-time Machine Learning Research Scientist at Mila in the Safe AI for Humanity (SAIFH) group, led by Yoshua Bengio and Joumana Ghosn. My research focuses on designing model-based AI systems with quantitative safety guarantees, which are essential for safety-critical domains such as healthcare. Specifically, I work on probabilistic inference in graphical models, drawing inspiration from human cognition.

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