Assistant Professor of Technology and Operations and Finance | University of Michigan
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. He also conducts extensive research and industry collaboration in FinTech, particularly in blockchain and robo-advisors. His research has received many awards such as the BlackRock Applied Research Award and the National Science Foundation Award.
Andrew holds a PhD in Finance from The Wharton School, University of Pennsylvania, and a BA in Mathematics and Economics from Yale University.
Session: FinTech and Financial Inclusion