First-authored paper 'Score-Based Deterministic Density Sampling' accepted at ICLR 2025
Co-authored paper 'RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations' accepted at CVPR 2025
First-authored paper 'Transport based particle methods for the Fokker-Planck-Landau equation' published in Communications in Mathematical Sciences (CMS), 2025
Co-authored paper on JumpProcesses.jl published at JuliaCon 2023
Co-authored paper 'Catalyst: Fast and flexible modeling of reaction network' published in PLOS Computational Biology, 2023
Gave two talks at JMM 2025 on deterministic sampling and Lean-based mentorship
Presented posters at ICLR 2025 and the Kinetic Fluid Workshop at UW-Madison in 2025
Background
Ph.D. student at the University of Washington, advised by Jingwei Hu
Deputy director of the UW Math AI Lab and organizer of the UW Math AI Seminar
Grew up in Russia and moved to Boston in 2015 for undergraduate studies
Initially studied economics, switched to mathematics, graduated in 2019, then earned a Master’s in computer science in 2020
Started Ph.D. in algebraic topology, pivoted to applied mathematics in 2022 after a Google internship
Current research focuses on deep learning and interacting particle systems for plasma modeling and sampling problems