About Me

I am a neurologist with expertise in multiple sclerosis (MS), training to become a clinician-scientist. My overarching objective is to develop artificial intelligence (AI) systems that will improve the quality of life of people with disabling neurological conditions, such as MS. My work bridges the gap between AI research and clinical practice by encompassing several aspects of the development and implementation of AI systems. This includes methodological development, application-specific engineering work, and the integration of these systems into real-world healthcare settings.

I completed a neurology residency at McGill University in 2022, and obtained a master's degree in neuroscience in 2023 through McGill University's Clinician-Investigator Program. My master's was co-supervised by Douglas Arnold (Department of Neurology and Neurosurgery) and Tal Arbel (Department of Electrical and Computer Engineering). During my master's, I developed causal machine learning methods for precision medicine, clinical trial enrichment, and biomarker discovery, with specific applications for MS.

Since September 2023, I am a PhD student in computer science at Mila / Université de Montréal, co-supervised by Yoshua Bengio and Guillaume Lajoie. My research is inspired by our scientific understanding of human cognition, and aims to integrate inductive biases for human-like cognition into AI systems. I am also interested in AI research ethics and governance.