Biography
Landon Ross came to the Freeman School in 2024 after working as a financial economist at the U.S. Securities and Exchange Commission. Previously, he completed his PhD in finance at Washington University in St. Louis and worked at the Federal Reserve Board of Governors. His research interests include applications of machine learning, large-scale optimization, robust optimization and natural language processing in finance. His most recent research develops small-scale analogs of large language models specifically for estimating public companies’ future stock returns and other financial information. At the Freeman School, he will teach Advanced Financial Modeling. Ross earned a master’s degree from Washington University in St. Louis and a BA at Creighton University.
