Benjamin Haibe-Kains

Benjamin Haibe-Kains, PhD is Senior Scientist at Princess Margaret Cancer Centre (University Health Network) and Professor of Medical Biophysics at the University of Toronto, where he heads the Bioinformatics and Computational Genomics Laboratory. He is internationally recognized for his work in pharmacogenomics, cancer biomarker validation, and scientific reproducibility in computational oncology. Dr. Haibe-Kains pioneered large-scale computational studies of cancer cell line pharmacogenomics, analyzing datasets from the Cancer Cell Line Encyclopedia (CCLE) and Genomics of Drug Sensitivity in Cancer (GDSC) to develop machine learning models predicting drug sensitivity from genomic features. He co-authored landmark papers in Nature demonstrating profound inconsistencies in published pharmacogenomic studies, exposing data processing disparities, batch effects, and analytical choices that led to contradictory conclusions — catalyzing a major debate about reproducibility in computational cancer research. In response, he developed ORCESTRA (Orchestrating and Sharing Translational Research with Automated Pipelines), a computational platform for creating, sharing, and reproducing cancer pharmacogenomic data analyses with full transparency and version control. Dr. Haibe-Kains is also recognized for developing genefu, an R package for computing and validating breast cancer molecular subtype signatures (PAM50, Oncotype DX, MammaPrint), which has become a standard tool in breast cancer bioinformatics. His laboratory has consistently championed open-source software, open data, and reproducible analytical standards in computational oncology.