I’m a mathematical physicist working on artificial intelligence. Currently a PhD candidate at Mila - Quebec AI Institute advised by Simon Lacoste-Julien, I work on foundational aspects of deep learning algorithms, with a focus on understanding their robustness and generalization performance.
Before joining Mila, I was a Humboldt Fellow hosted by the University of Waterloo, and prior to that, a junior scientist at the Max Planck Institute for Gravitational Physics in Potsdam, Germany. My research work was mainly about quantum gravity, and associated mathematical structures from higher dimensional algebra and matrix models. I received a PhD in theoretical physics from Ecole Normale Supérieure de Lyon, under the supervision of Laurent Freidel.
I also love teaching. I’ve taught numerous classes in mathematics, physics and computer science as a course lecturer at UW and McGill, and as a teacher’s assistant at ENS Lyon and UdeM.
See my curriculum vitae for more details.
PhD in Machine Learning, 2017-
Mila, Université de Montréal
PhD in Theoretical Physics, 2009
ENS Lyon and Perimeter Institute, Waterloo
Master's degrees in Mathematics and Physics, 2004
University Paris-Saclay and ENS Paris
Stipendary student, 2002-2004
ENS Paris-Saclay, Mathematics Department