Laurence Perreault-Levasseur, Ph.D.

Laurence Perreault Levasseur completed her Ph.D. in Applied Mathematics and Theoretical Physics from the University of Cambridge. She was a KIPAC Fellow at Stanford University, in the Kavli Institute for Particle Astrophysics and Cosmology (KIPAC), followed by a second postdoctoral fellowship at the Flatiron Institute in 2018. She has been the recipient of numerous awards and scholarships including the Vanier, Rouse Ball and MT Meyers awards. Since August 2019, she has been on faculty at the Department of Physics at the University of Montreal, as well as holding a joint position at the Quebec Artificial Intelligence Institute (Mila). Professor Levasseur’s research focuses on cosmology and in particular on the development of new machine learning techniques for data analysis and constraining cosmological parameters.