François Laviolette is a full professor in the Department of Computer Science and Software Engineering at Université Laval. His research focuses on artificial intelligence, particularly machine learning. He is the leader of the PAC-Bayesian theory, which allows us to better understand machine learning algorithms and to design new ones. He is interested in machine learning algorithms for solving problems related to genomics, proteomics and drug discovery. He is also interested in making artificial intelligences interpretable in order to better integrate systems where humans are in the decision loop. He is the director of the Centre de recherche en données massives (CRDM) at Laval University, which includes more than XNUMX research professors.CRDMfrom Laval University.