Elliot Paquette is a researcher in probability theory and especially the theory of high dimensional optimization and machine learning. He received his PhD in 2013 at the University of Washington, in random matrix theory. He was an NSF postdoctoral researcher at the Weizmann Institute of Science, working at the interface of random matrix theory and branching processes. In 2016, he joined Ohio State University as an assistant professor. In 2020, he moved to McGill University, Department of Mathematics and Statistics, where he is now an associate professor.