Teaches the course "Applications of mathematical statistics in machine learning" at the Yandex School of Data Analysis. Candidate of Physical and Mathematical Sciences (PhD), Associate Professor at the Skolkovo Institute of Science and Technology, Associate Professor and Head of the Data Analysis and Predictive Modeling Lab at the Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences. Uses statistical methods and data analysis to solve applied engineering problems in commercial aviation and the automotive industry.
His favorite topics are Gaussian process regression, confidence sets, generative neural networks, anomaly detection, and prediction of rare events. Interested in deep learning for 3D and 4D data processing in computer graphics, navigation using visual information, and reinforcement learning.