Dr. Yuri Balasanov

Biography

Yuri Balasanov is a financial industry practitioner with over 20 years of experience, having worked with leading financial institutions as a data scientist, quantitative researcher, risk manager, and quantitative trader. He is a member of the Advisory Committee for the project 'Developing Deep Learning-Computer Vision Framework to Monitor Avian Interactions Solar Energy Facility Infrastructure' under the U.S. Department of Energy and has advised on significant industrial projects. He earned his Master of Science degree in Applied Mathematics and his Ph.D. in Probability Theory and Mathematical Statistics from Lomonosov Moscow State University, where he studied under Andrey Kolmogorov, a leading figure in the field. His primary expertise and research interests include stochastic modeling, advanced data analysis, artificial intelligence, digital transformation, risk evaluation, and decision-making under uncertainty. From 1997 to 2023, Balasanov taught in the Graduate Program in Financial Mathematics and the Graduate Program in Applied Data Science at the University of Chicago. His curriculum included courses on Fixed Income Derivatives, Mathematical Market Microstructure, Linear and Nonlinear Statistical Analysis, Machine Learning, Bayesian Methods, Advanced Machine Learning and AI, Real-Time Analysis, Robotics, Financial Analytics, and Text Analytics. He has also provided training for various organizations, including the Federal Reserve Bank of Chicago, Federal Reserve Bank of Philadelphia, PwC, and Chicago Trading Company.

Research Interests