Paul Glasserman’s research focuses on applications of data science in quant finance. Paul was named the 2020 Financial Engineer of the Year by the International Association for Quantitative Finance. His publications include the book Monte Carlo Methods in Financial Engineering (Springer, 2004), which received the 2006 Lanchester Prize and the 2005 I-Sim Outstanding Publication Award. Paul is a past recipient of the National Young Investigator Award from the National Science Foundation (1994 – 99), IBM University Partnership Awards (1998 – 2001), the TIMS Outstanding Simulation Publication Award (1992), the Erlang Prize (1996), an IMS Medallion from the Institute of Mathematical Statistics (2006), and a fellowship from the FDIC Center for Financial Research (2004). He received the 2004 Wilmott Award for Cutting-Edge Research in Quantitative Finance and Risk Magazine’s 2007 Quant of the Year Award, and he received a U.S. patent for an option pricing method. He was named an INFORMS Fellow in 2008. He is also a recipient of the Dean’s Award for Teaching Excellence (1994, 2000) and the Saul Gass Expository Writing Award (2016).

Paul was senior vice dean of Columbia Business School in 2004-2008 and served as interim director of the Sanford C. Bernstein & Co. Center for Leadership and Ethics in 2005-2007. He co-chairs the Financial and Business Analytics center in Columbia’s Data Science Institute.