Benjamin Haibe-kains
Full Professor (Medical Biophysics) at University Health Network
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolBenjamin Haibe-Kains is a Full Professor of Medical Biophysics at the University of Toronto and Senior Scientist at Princess Margaret Cancer Centre, with 15 years of experience applying machine learning to high-throughput genomic data in oncology. He leads interdisciplinary research on molecular subtyping, multivariate genomic biomarkers, and integrative drug repurposing, translating pharmacogenomic screens into predictors of drug response. His work bridges computer science and translational medicine, rooted in a PhD from Université Libre de Bruxelles and postdoctoral training at Dana-Farber/Harvard where he developed network inference methods. Benjamin has repeatedly built reproducible genomic resources and pipelines during roles at IRCM and major Canadian institutions, reflecting a commitment to open, integrative data-driven cancer research. Less obvious: he combines deep expertise in algorithm development with hands-on experience in large-scale experimental datasets, allowing his lab to both propose novel methods and validate them on clinically relevant screens. Based in Toronto, he maintains a portfolio that spans fundamental computational methods to applied biomarker discovery for patient stratification.
15 years of coding experience
2 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Université libre de Bruxelles
Github Skills (49)
differential-expression10
breast-cancer10
r-package10
relevance10
survival-analysis10
regression10
gene-expression10
meta-analysis10
survival9
feature-selection9
visualization9
datasets9
minimum9
bioinformatics9
redundancy9
Programming languages (7)
Github contributions (5)
bhklab/cdrug
Oct 2013 - Nov 2014
Contributions:28 commits in 1 year 1 month
bhklab/cdrug-rebuttals
Apr 2014 - Oct 2016
Contributions:43 commits, 31 pushes in 2 years 6 months
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