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Philippe Gagnon is an Associate Professor in the Department of Mathematics and Statistics at the University of Montreal. His research interests lie in the application of sophisticated data analysis methods in actuarial science. He specializes in developing robust model selection techniques and parameter estimation approaches that are resilient to outliers. His work emphasizes creating efficient and automated algorithms for essential statistical analysis tasks. Gagnon's expertise extends to the theoretical and applied statistical domains, significantly contributing to the interface between actuarial science and data analysis. He is actively seeking students with strong backgrounds in theoretical statistics, applied statistics, or computer science, particularly interested in developing R packages for easy implementation of advanced methodologies. Gagnon is also involved in several research projects funded by prominent grants aimed at enhancing the field of actuarial studies through innovative statistical approaches.
University of Montreal • Montreal, QC, Canada
Teaching courses and supervising research in statistics and actuarial science.
Most programs require French B2 level; specific departments may require C1 or C2.