Dr Jacques Corbeil holds a Tier 1 Canada Research Chair in Medical genomics and is professor of Medicine at Université Laval. His research focuses on using lastest techniques in bioinformatics and machine learning to aid to diagnosis, facilitate the prognosis process and optimize response to treatment. He uses state-of-the-art instruments and big data analysis to facilitate the interpretation of complex phenotypes. His research interests include how infectious microorganisms interact with their hosts, the impacts of antibiotics on our microbial flora, and how to design small molecules and drugs to interfere with specific microbial functions. He works at the interface between cumputer science and omics and aims to integrate omics data to better understand biological processes.
Mr. Corbeil did his undergraduated studies at Laval, earned a Ph.D. from the University of New South Wales, Sydney, Australia, completed a postdoctoral training at the University of California, San Diego. He then became an associate professor at the UCSD, before returning to Canada.