"-Omics" sciences and machine learning
During this webinar, a few examples where machine learning has validated and discovered interesting associations for cases pertaining to human health will be presented.
How Does Machine Learning Contribute to Human Health Research?
Activity presented in French only
During this webinar, a few examples where machine learning has validated and discovered interesting associations for cases pertaining to human health will be presented.
Dr. Jacques Corbeil’s research team focuses on algorithms that generate parsimonious and interpretable models.
This webinar is presented by IID (Institute Intelligence and Data) of Université Laval
Speaker
Full Professor, Faculty of Medicine, Université Laval
Tier 1 Canada Research Chair in Medical Genomics
Dr. Jacques Corbeil uses the latest advances in bioinformatics and machine learning to aid in diagnosis, facilitate prognosis and optimize the treatment of disease. Genomics generates a deluge of data that must be interpreted using new bioinformatics approaches.
Dr. Corbeil uses state-of-the-art devices and big data analytical approaches to facilitate the interpretation of complex phenotypes. Dr. Corbeil’s research focuses on the interaction between infectious microorganisms and their host, the effect of antibiotics on the microbial flora, the design of small molecules and drugs that can interfere with specific microbial functions and the integration of “Omics” data in oncology. Dr Corbeil’s work is located at the interface of computer science and “Omics” sciences.
Dr Corbeil completed his undergraduate studies at Université Laval and received his Ph.D. from the University of New South Wales, Sydney, Australia. He then joined the University of California San Diego, where he completed a postdoctoral fellowship, landed a professorship, then was promoted to the rank of Associate Professor until he returned to Canada, where he obtained a Tier 1 Canada Research Chair in Medical Genomics.
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