Research Interests: I work at the intersection of particle physics, astrophysics, cosmology, and statistics. I’m interested in developing and applying novel statistical techniques—especially those based on machine learning—to accelerate searches for new physics.
Publications and Code: My publications can be found on INSPIRE or ADS, with an overview of recent work given here. I’m passionate about open and reproducible research, and code associated with most of my papers may be found on GitHub.
Previously: Prior to starting at NYU I obtained my Ph.D. from Princeton in 2018, working under the supervision of Mariangela Lisanti with my dissertation focusing on astrophysical searches for dark matter. Along the way, I’ve been fortunate to have worked on experimental particle physics early on in graduate school and as a Summer Student at CERN. I completed my undergraduate studies at Peterhouse, Cambridge in the UK where I read the Natural Sciences (Parts I and II) and Mathematics (Part III) Triposes. I grew up in Moscow, Russia.