The Boileau Group is led by Philippe Boileau, an Assistant Professor of Biostatistics at McGill University and Junior Scientist at the Research Institute of the McGill University Health Centre. We develop flexible causal machine learning methods motivated by real-world scientific questions, with a particular focus on identifying and characterizing treatment effect heterogeneity in clinical studies.
This organization hosts the group's research code. It brings together software packages, research tools, and code accompanying our publications to support transparency, accessibility, and reproducibility in scientific research.