My work mostly focuses on the intersection of learning theory and computational geometry, and especially on how and when asking better questions empowers us to learn more efficiently. If you're interested and/or new to this area, check out this recent blog post for a basic primer, which covers how the ability to compare data can drastically speed up and robustify learning! More recently, I have also been working on higher-order random walks on high dimensional expanders, and am especially interested in their connections to CSP-approximation and Unique Games.

I like singing, boardgames, squash, and sushi (in no particular order)