Prof. Christian Genest is one of the leading statisticians in Canada, whose work has had dual impact on both theory and real-world applications. He is best known for his contributions to multivariate analysis and was a pioneer in the expansive use of copula models in science. Together with a few close collaborators, he combined nonparametric methods and the asymptotic theory of empirical processes to design a broad array of rank-based inference tools for building, selecting, fitting, and validating stochastic models within this class. Additionally, Genest has contributed to group decision making, prioritization techniques, multivariate extreme-value theory and, most recently, to space-time modeling of rare events in environmental science.

More info: http://www.fields.utoronto.ca/news/Christian-Genest-awarded-2023-CRM-Fields-PIMS-Prize