Machine Learning Economist
Areas of Expertise
Vitaly Meursault uses machine learning to study questions in economics and finance. His current work at the Bank focuses on extracting economically meaningful signals from language, combining his economist training with his interest in history. One goal of his research is to develop applications of natural language processing for regulatory purposes because regulators often make decisions based on large amounts of text.
Vitaly earned his Ph.D. in financial economics at Carnegie Mellon University during the pandemic of 2020. The timing made him the first person at Carnegie Mellon to defend a dissertation via Zoom. He also holds a master’s degree in financial economics from the European University at St. Petersburg (Russia). He has an undergraduate degree in history from St. Petersburg State University.