Laurent CHARLIN

Laurent Charlin serves as Associate Professor at HEC Montréal and Canada CIFAR AI Chair at Mila - Quebec Artificial Intelligence Institute. After completing his PhD from the University of Toronto, MMath from the University of Waterloo, and postdoctoral work at Princeton, Columbia, and McGill Universities, he has established himself as a leading researcher in machine learning and decision-making systems. His research focuses on developing novel machine learning models, particularly in recommender systems, dialogue systems, and optimization. His most significant contribution includes co-developing the Toronto Paper Matching System (TPMS), widely adopted by computer science conferences for reviewer assignment. His recent work explores continual learning, with applications in fields such as recommender systems and optimization. As a core academic member of Mila and professor at HEC Montréal's Department of Decision Sciences, he continues to advance the field through research in Bayesian statistics, deep learning, and artificial intelligence while contributing to AI literacy through MOOCs and public engagement.