I’m a research scientist at Samsung SAIT AI Lab Montreal, an academic-style research lab situated within Mila - Quebec AI Institute. My research revolves around foundational aspects of deep learning algorithms, with a focus on understanding their robustness and generalization performance. I recently earned a PhD in machine learning at Mila, University of Montreal, advised by Simon Lacoste-Julien.

Prior to my time at Mila, I worked as a theorerical physicist, first as a junior scientist at the Max Planck Institute for Gravitational Physics in Potsdam, then as a Humboldt Fellow hosted by the University of Waterloo and McGill. My work was mainly about quantum gravity and associated mathematical structures from higher dimensional algebra and matrix models. I received a PhD in physics from the Perimeter Institute in Waterloo and the 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 teacher’s assistant at ENS Lyon and UdeM and as a course lecturer at UW and McGill.

See my curriculum vitae for more details.