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Laurent Charlin is an Associate Professor in the Faculty of Arts and Sciences at the Université de Montréal. He specializes in the fields of artificial intelligence and machine learning, focusing on data science and its applications. His research encompasses machine learning, Bayesian inference, statistical models, and deep learning. Charlin has been involved in numerous research projects aimed at evaluating the impact of polypharmacy on health outcomes and costs among older adults. He has supervised multiple theses at both doctoral and master’s levels, contributing significantly to the academic community. His collaborative work often merges statistical analysis with advanced computational techniques to enhance understanding and efficiency in various domains.
Université de Montréal • Montréal, QC
Teaching and supervising students in the fields of computer science and operational research.
Department of Pharmacology and Physiology - Research intensive with options in Neuropharmacology and Pharmacogenomics.