Streams: Cancer, Health
Dr. Jacques Corbeil focuses on using the latest techniques in bioinformatics and machine learning to assist and facilitate diagnosis and prognosis determination and optimize response to treatment. Modern genomics and metabolomic techniques generate a deluge of data that needs to be interpreted using novel data analytic approaches. Dr. Corbeil uses state-of-the-art instrumentation and big data analytics to facilitate the interpretation of complex phenotypic data. In addition, his teams focused on early cancer detection and drug development using machine learning approaches. Dr. Corbeil operates at the interface of computer and omic sciences.
Dr. Corbeil completed his undergraduate work at Laval University. He obtained his Ph.D. from the University of New South Wales, Sydney, Australia, and received postdoctoral training at the University of California San Diego; continuing as a faculty member and rising to the rank of Associate Professor until his return to Canada as holder of the Tier 1 Canada Research Chair in Medical Genomics.