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Welcome to the Bioinformatics and Computational Genomics Laboratory of
Benjamin Haibe-Kains
The Bioinformatics and Computational Genomics Laboratory is part of the Princess Margaret Cancer Centre – University Health Network, located in the heart of the Toronto Discovery District. Our research focuses on the development of novel computational approaches to best characterize carcinogenesis and drug mechanisms of action from high-throughput genomic data. We have strong expertise in prognostic and predictive biomarkers identification and drug repurposing.
The Princess Margaret Cancer Centre is a teaching hospital within the University Health Network and affiliated with the University of Toronto. It has the largest cancer research program in Canada. This rich working environment provides ample opportunities for collaboration and scientific exchange with a large community of clinical, genomics, computational biology, and machine learning groups at the University of Toronto and associated institutions, such as The Hospital for Sick Children and the Donnelly Centre.
Latest News
- Dr. Hassan Mahmoud presents his poster "Omics Complementary Role for Biomarker Discovery." at the Cancer AI & Big Data Conference.
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Seyed Ali Madani Tonekaboni becomes Dr. Seyed Ali Madani Tonekaboni
Congragulations to the new PhD in town, Dr.Ali Madani Tonekaboni! He was awarded his doctorate on Feburary 19th for his thesis on "Computational Models for Mapping Transcriptome andEpigenome to Human Phenotypes".- In:
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Dr. Hassan Mahmoud presents his poster at AACR
Dr. Hassan Mahmoud presented his poster on Drug sensitivity prediction modelling from genomics, transcriptomics and inferred protein activity at the AACR.- In:
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Dr. Hassan Mahmoud presents at the annual Terry Fox Research Institute's Ontario Node Research Symposium
Dr. Hassan Mahmoud Mohamed presents his poster at the annual Terry Fox Research Institute’s Ontario Node Research Symposium
More stories can be read on the News page.
Positions Available
There are currently positions available in the lab for Software Developers, Postdoctoral Fellows, Graduate and Undergraduate Students in Cancer Computational Biology. Our research focuses on the development of novel computational approaches to best characterize carcinogenesis, drug mechanisms of action and therapeutic potential from high-throughput genomic data. Learn more on the Positions page.
Publications
Lab members have been published in journals such as Nature, Genomics, PLoS Computational Biology and Nature Methods. Publication highlights may be reviewed on the publications page.


