Dr. Jacques Corbeil focuses on using the latest bioinformatics and machine learning techniques to facilitate the processes of diagnosis and prognosis and optimize response to treatments. Modern genomic techniques generate a deluge of data that needs to be analysed and interpreted. Dr. Corbeil is using state-of-the-art instrumentation and big data analytics to facilitate the interpretation of complex phenotypic data. He uses nextgen sequencing and mass spectrometry and, in particular metabolomics to investigate how infectious microorganisms interact with their hosts, examine the effects of antibiotics resistance on our health, explore how to design small molecules and drugs to interfere with specific microbial functions and finally integrate omic data in biomedical research. Dr. Corbeil operates at the interface of computer and omic sciences. He will be in charge of aims 1, 2b and 2e.

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 the holder of the Tier 1 Canada Research Chair in Medical Genomics (2004-present).