Egor Leonidovich Gladin

Egor Leonidovich Gladin serves as both Associate Professor in the Department of Big Data and Information Retrieval and Senior Research Fellow at the Laboratory of Theoretical Foundations of Artificial Intelligence Models within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He began his formal appointment at HSE in 2025, though he has been affiliated with the university as a Research Intern since 2022.

His educational background includes a PhD from Humboldt University of Berlin (2024), a Master's degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology (2021), and a Bachelor's degree in the same field from the same institution (2019). Gladin is proficient in Russian, English, and German, facilitating his international research collaborations.

Gladin's research focuses on convex optimization and stochastic optimization methods, with significant contributions to probability theory and mathematical statistics. His work addresses fundamental challenges in optimization theory, particularly for problems with dimensional constraints, developing algorithms with provable convergence properties. His publications span theoretical foundations of optimization algorithms with applications to artificial intelligence and machine learning, demonstrating expertise in minimax problems, Markov decision processes, and convex minimization with inexact oracles.

Among his scientific achievements is a bonus for publication in a journal from List A (2025-2026), recognizing the quality and impact of his research. His scholarly work has appeared in prestigious venues including the Journal of Optimization Theory and Applications, Proceedings of Machine Learning Research, and NeurIPS.

As an educator, Gladin teaches Mathematical Statistics 1 and 2 for undergraduate students in the Applied Mathematics and Computer Science program, and Modern Algorithmical Optimization for both undergraduate and graduate students. His teaching emphasizes theoretical foundations while connecting concepts to practical applications in data science and artificial intelligence.

He is supervised by Naumov A.A. and Puchkin N.A. at HSE and maintains active collaborations with prominent researchers including Gasnikov A. and Dvurechensky P. in the optimization and machine learning communities.