Alexey has deep expertise in deep learning, machine learning, statistics, and industrial applications of data analysis.
In 2012, Alexey graduated from the Department of Control and Applied Mathematics of Moscow Institute of Physics and Technology (MIPT). In his Master’s thesis, Alexey proposed a modification of Bayesian approach for linear regression that allows an automated feature selection. He completed a Ph.D. in Math and Physics at IITP RAS in 2017. Alexey obtained a new result on the effectiveness of Bayesian procedures for Gaussian process regression and a theoretical justification for the selection of the design of experiments for variable fidelity models as well as minimax errors for Gaussian process regression. He published these results in a number of top journals including Russian Mathematical Surveys and top-ranked conferences such as AISTATS. During his studies at MIPT, Alexey joined a start-up DATADVANCE and took part in the development of pSeven library dedicated to data analysis for engineers. He developed a pioneering tool for data fusion that solves a regression problem for the case of data with more than one fidelity. Alexey have successfully completed several projects connected with the application of data analysis for such companies as AREVA, TOTAL, and Airbus. In 2018 he was awarded Moscow government award for young scientists “Development of predictive analytics methods for processing industrial, biomedical and economic data” joint with E. Burnaev and M. Panov.
Now Alexey focuses his research on the development of new methods for sequential data and robustness of deep learning models. This research is tightly connected to probabilistic machine learning and representation learning for various data modalities. He has joint publications with major companies like Sberbank and Saudi Aramco pursuing his desire to develop solutions that revolutionize the industry. On the other hand, he continues to publish at top venues including KDD and ACMM and in top journals like IEEE Access and Journal of Petroleum Science and Engineering.
His lab also pays serious attention to development modern courses for students and industrial partners at all levels from engineers to top-managers.
Banks and related companies:
In 2018 Alexey was awarded the Moscow government award for young scientists “Development of predictive analytics methods for processing industrial, biomedical and economic data” joint with E. Burnaev and M. Panov.
Present students (with the year of the planned defense)