Andrew is an Assistant Professor of Technology and Operations and Finance at the University of Michigan’s Ross School of Business. He holds a Ph.D. in Finance from The Wharton School, University of Pennsylvania, and a B.A. in Mathematics and Economics from Yale University.
Andrew’s research develops and applies machine learning and automated textual analysis methods to extract and quantify new financial and operating information from large-scale unstructured data, such as corporate disclosures, news reports, government documents, and social media. His research has received many awards such as the BlackRock Applied Research Award and the National Science Foundation Award.
Li, J., Wu, A. (2018). “SCOTUS’ online sales tax ruling crucial for many small businesses.” The Hill.
Wu, A. (2017). “Bitcoin buyers: Proceed with extreme caution.” The Hill.
Jegadeesh, N., Wu, A. (2013). “Word Power: A New Approach for Content Analysis.” Journal of Financial Economics. 110(3). pp. 712-729.