About me

I’m an Assistant Professor at the University of Montreal, Core Academic Member at Mila - Quebec AI Institute and a regular member of Institut Courtois developing novel methods in generative modelling, Monte Carlo methods, Optimal Transport, and applying those to solve fundamental problems in natural sciences, e.g. finding eigenstates of the many-body Schrodinger equation, simulating molecular dynamics, predicting the development of biological cells, conformational sampling, and protein folding. Previously, I did two postdocs: at Vector Institute with Alán Aspuru-Guzik and Alireza Makhzani; at the University of Amsterdam with Max Welling.
I was born in Sevastopol, Ukraine, and at the age of 13 I started competing in Ukrainian olympiads on math and physics. Since then I’ve been interested in studying and understanding nature in all its forms from abstract (math, physics, computer science) to practical fields (history, biology, humanities, which I also try to study in my free time).
Research
| Year | Work | Venue |
|---|
Talks
- Steering Generative Models: From Mathematics to Biomolecular Design at Chem AI, NYU, 2026
- Monte Carlo Methods in the Age of Generative Modeling at ICSDS, 2025
- Transferable Monte Carlo Methods via Generative Modeling at the UQAM Mathematics Department, 2025
- Self-Refining Training for Amortized Density Functional Theory at Microsoft New England, 2025
- Controlling Diffusion Models at Inference Time at Chalmers AI4Science, 2025
- Controlling Diffusion Models at Inference Time at the KAIST seminar, 2025
- Doob’s Lagrangian at the join seminar of IVADO, Institut Courtois, Perimeter Institute, 2024
- Wasserstein Lagrangian Flows at LoGG’s seminar, 2024
- Action Matching talk at LoGG’s seminar, 2023
- Action Matching talk at Shannon’s Bandwagon, 2023
- Langevin dynamics for sampling and global optimization, 2019
- Sparse variational dropout and variance networks, 2018
You can find my email in my papers.