I co-organize the Smooth games optimization and ML workshop series at NeurIPS. The opening remarks video from last year gives a nice summary of our motivation for this line of work.

In Montreal, I co-organize MTL MLOpt, a bi-weekly meeting of optimization experts from Mila, UdeM, McGill (CS and math), Google Brain, SAIL, FAIR, MSR, etc.

Every fall, I teach ML to 200 grad students. Every winter, I teach an advanced research class on deep learning theory.

Before joining the University of Montreal, I was a postdoc with the Departments of Computer Science and Statistics at Stanford University working with Chris Ré and Lester Mackey. I got my PhD at The University of Texas at Austin with Constantine Caramanis and Sriram Vishwanath, where I also worked with Alex Dimakis.