Ilya Feshchenko is an expert in machine learning, data science, and quantitative finance. He holds dual master’s degrees in Economics from the New Economic School and in Mathematics and Computer Science from Skolkovo Institute of Science and Technology, as well as a bachelor’s degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology.

Ilya has experience as a researcher in high-frequency trading, a teaching assistant at NES, and a contributor to various academic and industry projects. His research covers deep learning, Bayesian methods, and quantitative portfolio optimization. He has authored publications on quantum computing and worked on projects related to natural language processing, blockchain, and machine learning applications in finance and marketing.