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, cryptocurrencies and robo-advisors. Recently, he started a parallel research stream in precision medicine, focusing on the use of big data techniques to increase cure discovery and reduce treatment complications for rare diseases. His research has received many awards such as the BlackRock Applied Research Award and the National Science Foundation Award.
Andrew holds a Ph.D. in Finance from The Wharton School, University of Pennsylvania, and a B.A. in Mathematics and Economics from Yale University.