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

Léonard Sauvé successfully defends his doctoral thesis

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.

Léa Kaufmann is invited to the 31st Scientific Symposium of the Department of Biochemistry and Functional Genomics at the Université de Sherbrooke

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 wins FESP artificial intelligence scholarship

Léa Kaufmann is the recipient of the $10,000 artificial intelligence scholarship awarded by UdeM Graduate and Postdoctoral Studies. Congratulations!

Safia Safa-tahar-henni successfully defends her doctoral thesis

Congratulations to Dr. Safia Safa-tahar-henni for successfully completing her thesis defense! Her thesis, entitled Targeted Therapy for Pediatric Acute Myeloid Leukemia Caused by KMT2A Chromosomal Translocations, is now available in the UdeM Papyrus system.