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Laurent Briollais is a Professor at the Dalla Lana School of Public Health, University of Toronto. He holds a Ph.D. in Statistical Genetics from University Paris XI. His primary research focuses on Statistical Genetics, integrating methodologies such as Bayesian methods and multivariate survival analysis. He has extensive experience in developing joint modeling approaches tailored for cancer research, including risk prediction models for hereditary breast ovarian cancer. In addition, he explores the applications of Bayesian methods in high-dimensional genetic studies and quantile regression methods. His academic journey includes significant roles at the Lunenfeld Tanenbaum Research Institute, where he has contributed to various projects and supervised numerous students in their doctoral studies. He is recognized for his remarkable contributions to the field, receiving several awards such as the Petro-Canada Young Investigator Award and multiple Student's Post-doctoral Fellowship Awards. His research outcomes have been published in renowned journals, highlighting advancements in the statistical analysis of genetic data.
Lunenfeld-Tanenbaum Research Institute, Sinai Health System • Toronto, ON, Canada
Conducts cutting-edge research in statistical genetics.
Dalla Lana School of Public Health, University of Toronto • Toronto, ON, Canada
Engaged in teaching and research in public health.
Dalla Lana School of Public Health, University of Toronto • Toronto, ON, Canada
Focused on high-level research and collaboration in statistical genetics.
Department of Sociology