I am a researcher at Anthropic, based in San Francisco. In July 2025, I will be starting as Assistant Professor of Computing & Data Sciences and Physics at Boston University.

Contact: I’m best reached via email.

CV: A copy of my CV may be found here.

(Academic) Research Interests: I work bidirectionally at the intersection of AI and physics, with a focus on applications towards fundamental physics discovery.

My research examines how AI can be used to make better use of complex datasets from current and future experiments in cosmology, astrophysics, and particle physics across diverse modalities, scales, and physical systems.

I also use data from physics as a sandbox for methodological developments with broad applicability in the natural sciences, particularly focusing on neural approaches to simulation-based inference, scalable generative modeling, probabilistic/differentiable programming, and symmetry-preserving data processing.

In my work, I investigate both (1) data-driven approaches that leverage scale, and (2) physics-informed methods that incorporate mechanistic understanding and inductive biases, while also exploring the interplay between these paradigms.

Papers, Code, and Tutorials:

• Papers can be found on Google Scholar or ADS.
• Code associated with all of my projects may be found on GitHub.
• Tutorials on simulation-based inference, deep probabilistic programming, and self-supervised & multimodal machine learning.
• Slides for lectures on generative modeling at the IAIFI Summer School 2023.
• A curated list of resources and papers on neural simulation-based inference.

Previously: I was an IAIFI Fellow at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), affiliated with MIT and Harvard. Prior to that I was a postdoc at NYU’s Center for Cosmology and Particle Physics. I obtained my Ph.D. in Physics from Princeton University in 2018, working under the supervision of Mariangela Lisanti with my dissertation focusing on the phenomenology of and astrophysical searches for dark matter. Along the way, I’ve been fortunate to have worked on experimental particle physics as a Summer Student at CERN. I completed my undergraduate studies at Peterhouse, University of 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.

Misc.: I enjoy road cycling and hanging out with my cat, Toph.