Alexey has expertise in numerical methods, mathematical statistics and usage of data analysis in applications. 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 then entered a postgraduate program at the Institute for Information Transmission Problems focusing on Mathematical Statistics. Alexey obtained a new result in effectiveness of Bayesian procedures for Gaussian process regression (a version of Bernstein-von Mises Theorem). His research was published in a number of peer-reviewed journals.
During his studies at MIPT Alexey joined a Skolkovo resident company DATADVANCE and took part in the development of MACROS library dedicated to data analysis for engineers. He developed a first ever industry-level tool for data fusion that solves a regression problem for the case of data with more than one fidelity. Alexey have also completed a number of projects connected with application of data analysis in Aerospace engineering and adjacent areas for such companies as AREVA, TOTAL and Airbus.
Development of advanced algorithms for battery health optimization and prediction