Research Scientist at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Russia
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Summary
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Alexander Nikulin is a research scientist and PhD candidate specializing in Offline Reinforcement Learning with a decade of experience bridging academic research and industrial R&D. He is the core developer of the CORL library and the XLand-MiniGrid environment, projects that helped popularize reproducible offline RL and garnered significant community attention. His work includes a first-author ICML paper on SAC-RND and multiple publications at top ML conferences (ICML, ICLR, NeurIPS), and he has received the Yandex ML Prize for early-career impact. Alexander has contributed to both startup and corporate research teams (Tinkoff, AIRI, JetBrains) and built robust experiment infrastructure in PyTorch, often outperforming baselines by substantial margins. He combines a formal ML and CS education with a background in sociology and social informatics, enabling a human-centered perspective on algorithm design. Notably, his public-facing outreach—talks, media coverage, and teaching—amplifies the practical adoption of his open-source tools.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Master's degree, Computer Science, Master's degree, Computer Science at Высшая Школа Экономики
Contributions:194 pushes, 6 branches, 1 comment in 3 months
kotlinprogramming-language
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