François Laviolette is a full professor in the Computer Science and Software Engineering Department at Université Laval. His research focuses on artificial intelligence, especially machine learning. A leader in PAC-Bayesian theory, which helps to better understand machine learning algorithms and to design new ones, he is interested, among others, in those that solve genomics-related learning problems, 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 Big Data Research Center at Laval University, which brings together more than 50 professors.