M.Sc. in Mathematics of Machine Learning and B.Sc. in Applied Mathematics and Computer Science from HSE University, Moscow. Machine learning researcher working at the intersection of generative modeling, reinforcement learning, and probabilistic inference. My research focuses on developing scalable algorithms for sampling, generative modeling, with recent work on entropy-regularized reinforcement learning and diffusion-based samplers.
I am broadly interested in generative models, reinforcement learning, diffusion models, Monte Carlo methods.
