About

I’m a PhD student at the University of Oxford, supervised by Haggai Maron, Michael Bronstein and Yarin Gal. My research focuses on the symmetry and structure of neural network parameter spaces, with the goal of facilitating (meta-)learning tasks over model weights. I’m also interested in geometric deep learning more broadly and in how inherent structure can inform learning.

Before joining Oxford, I completed my undergraduate studies at the Technion as a Rothschild scholar, studied expander graphs at the Weizmann Institute, developed fair learning algorithms at Fairgen, and taught math and programming at the ARDC. My PhD is funded by the EPSRC through the AIMS CDT program.