Laurent Charlin
HEC Montréal
Professeur adjoint
Specialist In Apprentissage automatique, Intelligence artificielle, Systèmes de recommandations, Statistique bayésienne et Apprentissage profond


Laurent Charlin is an assistant professor of artificial intelligence at HEC Montréal and a member of Mila–Quebec Artificial Intelligence Institute. He earned a master’s degree and a PhD respectively from the universities of Waterloo and Toronto and was a postdoc at Columbia,

Princeton and McGill universities. He develops machine learning models, including deep learning models, to analyze large collections of data and to help in decision-making. His main contributions are in the field of dialogue systems and recommender systems. The Toronto paper matching system (TPMS), a system to recommend and match papers to reviewers that he

co-developed, was adopted by dozens of major conferences over the last five years (it has recommended papers for over six thousand reviewers). He has published 20 papers in international conferences and won a second-best paper award at the 2008 Uncertainty in

Artificial Intelligence (UAI) conference.