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Corbeil Jacques

Associate Researcher

Full Professor
Université Laval

Thèmes de recherche

Theme 4 – Personalizing Nutrition

Mots clés

Machine learning for diagnosis support and treatment optimization

Host-pathogen interactions

Big data in health

Omics data in oncology

Coordonnées


  • Université Laval

Faculté de médecine
Department of Molecular Medicine

Centre de recherche du CHUL - Local TR-31
2705 boulevard Laurier
Québec (Québec) G1V 4G2
Canada

418-525-4444 - poste46423

Liens et réseaux sociaux

Expertises


Jacques Corbeil leverages the latest advances in bioinformatics and machine learning to support diagnosis, improve prognosis, and optimize the treatment of diseases. Genomics generates a vast amount of data that must be interpreted using novel bioinformatics approaches. Dr. Corbeil uses state-of-the-art technologies and big data analytical methods to facilitate the interpretation of complex phenotypes. His research focuses on interactions between infectious microorganisms and their host, the effects of antibiotics on the microbiota, 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 lies at the interface of computer science and omics sciences.

Formation


Postdoctoral Fellowship - Infectious Diseases - University of California

Doctorat - Medicine - University of New South Wales

Master's - Experimental Medicine - Université Laval

Bachelor's - Biochemestry - Université Laval