Summary
Benjamin Haibe-Kains is a Full Professor of Medical Biophysics at the University of Toronto and a Senior Scientist at the Princess Margaret Cancer Centre, where he leads a research program at the intersection of machine learning, genomics, and cancer translational science. His lab focuses on three axes: identifying disease molecular subtypes, building multivariate genomic biomarkers, and integrative drug repurposing in oncology. With a PhD in bioinformatics from Université libre de Bruxelles and postdoctoral work at Dana-Farber/Harvard, he has built a career bridging computer science and cancer biology, including leading the Bioinformatics and Computational Genomics Laboratory at IRCM. He previously contributed to pharmacogenomic predictor development from large-scale drug screening in cancer cell lines, informing precision medicine approaches. Based in Toronto, his work emphasizes turning high-throughput genomic data into clinically actionable insights through scalable ML methods and translational collaboration. His international training and leadership across multiple Canadian institutions reflect a track record of shaping interdisciplinary, data-driven cancer research.
15 years of coding experience
2 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Université libre de Bruxelles