Postdoctoral Associate
I am a Postdoctoral Associate working with Alina Ene and Lorenzo Orecchia. I received my PhD from MIT Math in 2017, where I benefited from the brilliant advising of Jonathan Kelner and Aleksander Mądry.
I work on multiple aspects of convex (and non-convex) optimization. My work so far attempted to combine tools from convex geometry and continuous optimization in order to obtain improved algorithms for classical discrete problems.
I am also interested in various aspects of Deep Learning, particularly understanding what enables models to generalize, and how the training methods we use affect generalization.