Alex Kim is a second-year Ph.D. student in Accounting at the University of Chicago, Booth School of Business. His research explores information processing of investors and how unstructured non-financial information helps investors in the capital market. Methodologically, he is interested in applying large language models and deep learning tools in financial economics research. His research has been covered by major media outlets such as Bloomberg, Fortune, and Marginal Revolution,. His research is funded by the Fama-Miller Center for Research in Finance at the University of Chicago.