Bioinformatics & Cancer Research
Our lab is affiliated to the Institute for Research in Immunology and Cancer (IRIC) at the Université de Montréal (UdeM). Our multidisciplinary team develops bioinformatics tools and analysis pipelines, and leverages machine learning and other computational approaches to analyze omics data such as transcriptomic, chemogenomic, and proteomic data. Through fundamental, translational and clinical research, we help improve cancer treatment.
Latest News
Congratulations to Dr. Léonard Sauvé for successfully defending his thesis! His thesis, entitled Parameterization of Survival Models & Dimensional Reduction by Deep Learning on Cancer Transcriptomes, is now available in the UdeM Papyrus system.
As the recipient of the 2024 Simon-Pierre Noël Day First Prize, Léa Kaufmann was invited to present her research at the Université Sherbrooke Symposium. She gave a presentation on "[The] Use of gene expression profiles to predict the biological activity of chemical compounds in cancer cells" in addition to attending various student presentations.
Léa Kaufmann is the recipient of the $10,000 artificial intelligence scholarship awarded by UdeM Graduate and Postdoctoral Studies. Congratulations!
