🧠Royal Society University Research Fellow
I am currently a Royal Society University Research Fellow at the School of Informatics, University of Edinburgh (since January 2025). I work in the field of NeuroAI – an intersection between studies of natural and artificial intelligence.
Drawing on my interdisciplinary background, I view intelligence as fundamentally linked to predictive processing and dynamic interaction with the environment. I am also interested in applying my research to understanding the mechanisms underlying autism spectrum disorders, and enabling effective decoding of movement for developing prosthetic devices and human-machine interfaces.
- Latent neural population dynamics
- Motor control: movement planning and correction
- Predictive processing in neural populations
PhD in Biophysics
University of Ghent
MSc in Applied Mathematics and Physics
Moscow Institute of Physics and Technology (MIPT)
BSc in Applied Mathematics and Physics
Moscow Institute of Physics and Technology (MIPT)
I am a computational neuroscientist, with expertise in analyzing large neural population recordings. Over the years, I have worked with data from various recording modalities, brain areas, and behavioral paradigms.
My current research focuses on understanding and controlling neural population dynamics. Specifically, I am interested in uncovering the computation that integrates predictions about future behavior with sensory feedback about the current state of the agent and its environment.
