I am a Fundamental Research Scientist at Element AI in Montreal, Canada. My current research is at the intersection of causal inference and machine learning. I am particularly interested in methods for causal discovery, which I believe is a problem of fundamental interest in science.
I obtained my PhD in machine learning from Laval University, under the supervision of François Laviolette, Mario Marchand, and Jacques Corbeil. In my thesis, I proposed machine learning algorithms with theoretical guarantees to uncover genotype-to-phenotype associations in large genomic datasets, and showed how these could be used in addressing the global problem of antibiotic resistance.
PhD in Artificial Intelligence, 2019
MSc in Artificial Intelligence, 2014
BSc in Computer Science, 2012