Recipient of the Russian Academy of Sciences Medal for Young Scientists (2017)
Led CDS team to 1st place in NeurIPS MineRL competition (2019)
Led SkillFusion team to 1st place in CVPR Habitat competition (2023)
Principal investigator on completed grants from the Russian Foundation for Basic Research (RFBR) and the Russian Science Foundation (RSF)
Winner of the Yandex ML Prize 2024 in the Scientific Supervisors category
Scientific consultant for Autorobotics team, winner of the Up Great “Level 5” 2024 competition for autonomous cargo transportation
Editor of Cognitive Systems Research (Elsevier) since 2019
Member of the Scientific Council of the Russian Association for Artificial Intelligence (RAAI) from 2015 to 2022
Organized annual summer schools for RAAI and AIRI since 2017
Organized the NeurIPS IGLU competition in 2021 and 2022
Area Chair for AAAI 2026 (AIA track)
Education
Graduated in 2005 from the physics and mathematics school at Novosibirsk State University (NSU)
Earned a bachelor’s degree in physical-technical informatics from the Faculty of Physics at NSU
Completed a master’s degree in applied mathematics and physics at MIPT, Department of Intelligent Systems (basic department of the Computing Center of RAS)
Conducted doctoral dissertation at the Institute for System Analysis of RAS under the supervision of G.S. Osipov; thesis title: 'Research of methods, development of models, and algorithms for forming elements of the sign representation of the subject’s world model'
Defended Dr.Sc. (Doctor of Sciences) thesis in Physics and Mathematics in November 2024; thesis title: 'Methods and algorithms of neurosymbolic learning and behavior planning for cognitive agents'
Background
Head of Cognitive AI Systems Laboratory at the Artificial Intelligence Research Institute (AIRI), Moscow, Russia
Head of the Center for Cognitive Modeling at the Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Russia
Research interests include transformer models and structured world models in reinforcement learning, applying language models for behavior planning (including robotics platforms), multi-agent planning and learning, and indoor visual navigation
At AIRI, focuses on fundamental research on novel neurosymbolic architectures and LLM/VLM-based agents
At MIPT, leads applied research and commissioned projects in reinforcement learning, robotics, and control systems
Since 2019, has led the highly sought-after non-industrial Master's Program in Artificial Intelligence at MIPT’s Phystech School of Applied Mathematics and Computer Science (FPMI)