Biography

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.