Philippe Boileau
Assistant Professor at McGill University
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolPhilippe Boileau is an Assistant Professor of Biostatistics at McGill University with 11 years of experience applying assumption-lean statistical methods at the intersection of causal inference and machine learning for health and life sciences. He develops reproducible, open-source tools and pipelines—often for high-dimensional ’omic and clinical trial data—and has translated methodology into practice through internships and collaborations at Genentech, Roche, and academic medical centers. His recent work focuses on causal machine learning for treatment effect modifier discovery in oncology gene expression data, combining nonparametric theory from his Berkeley PhD with pragmatic software implementations. Philippe has a track record of guiding experimental design and producing analytical software (e.g., R packages for time-to-event and trial visualization) that bridges methodological rigor and clinician-facing needs. Colleagues value him for blending deep statistical theory with collaborative, domain-driven problem solving across epidemiology, biology, and clinical research.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of California, BerkeleyBachelor of Science - BS, Honours Statistics, Bachelor of Science - BS, Honours Statistics at Concordia University
Github Skills (45)
pattern-recognition10
sparse10
dimensionality-reduction10
r-package10
tidymodels10
linear-models10
mixed-models10
covariance10
variable-selection10
bioconductor10
cross-validation10
dimensions10
principal-component-analysis10
contrastive-learning10
toolbox9
Programming languages (6)
Github contributions (5)
PhilBoileau/scPCA
Mar 2019 - Jan 2023
A toolbox for sparse contrastive principal component analysis
Contributions:2 releases, 3 reviews, 287 commits in 3 years 10 months
principal-component-analysistoolboxsparsecontrastivecomponent-analysis
PhilBoileau/cvCovEst
Apr 2020 - Jan 2023
An R package for assumption-lean covariance matrix estimation in high dimensions
Contributions:3 releases, 4 reviews, 323 commits in 2 years 9 months
covariance-matrixcovariancer-packagenonparametric-statisticsmatrix-estimation
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