Philippe Boileau

Philippe Boileau is an Assistant Professor of Biostatistics at McGill University with a joint appointment in the Department of Epidemiology, Biostatistics, and Occupational Health and the Department of Medicine. He is also a Junior Scientist at the Research Institute of the McGill University Health Centre. Dr. Boileau is broadly interested in the development of assumption-lean statistical methods and their application to quantitative problems in the health and life sciences. Assumption-lean procedures combine causal inference and machine learning techniques to avoid unjustified assumptions about data-generating processes, encouraging dependable statistical inference. He is also committed to the development of open-source statistical software and, more broadly, to the adoption of reproducible research practices.

Website:  https://pboileau.ca