Sophia Kazinnik is a research scholar at the Stanford Digital Economy Lab, where she explores the intersection of artificial intelligence and economics. Prior to joining Stanford, Sophia worked as an economist and quantitative analyst at the Federal Reserve Bank of Richmond, where she was part of the Quantitative Supervision and Research group. While there, she contributed to supervisory projects targeting cyber and operational risks and developed NLP tools for supervisory purposes.

Broadly, her research focuses on applying Natural Language Processing (NLP) methods and Generative AI models to economic research, with particular emphasis on policy and central bank communication, financial stability, and cyber risk.

Sophia holds a bachelor’s degree in economics from Tel Aviv University in Israel and earned her doctoral degree in economics from the University of Houston.