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Alexandre Bouchard-Côté is a Professor of Statistics at the University of British Columbia, with his research primarily focusing on computational statistics and statistical machine learning. His academic career began with a joint honors program in Mathematics and Computer Science at McGill University, followed by a Ph.D. in Computer Science at the University of California, Berkeley, where he developed probabilistic models of language change. Since joining UBC in 2011, he has advanced from Assistant Professor to Associate Professor and now holds a full professorship. His research interests are diverse, encompassing Bayesian methods, probabilistic modeling, and computational techniques in statistics, with applications in evolutionary dynamics, phylogenetics, and historical linguistics. He has contributed significantly to the development of sampling methods and inference strategies that tackle high-dimensional and complex models. His work has been recognized with several prestigious awards, including the CRM-SSC Prize in 2024 and the PIMS-UBC Young Faculty Award.
University of British Columbia • Vancouver, BC
Full-time faculty member engaged in research and teaching in statistics.
University of British Columbia • Vancouver, BC
Developed advanced curriculum and conducted research in statistical methodologies.
University of British Columbia • Vancouver, BC
Began academic career with focus on computational methods in statistics.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.