MSQF Faculty

Qing Sheng, PhD

Program Director

Dr. Sheng joined the Gabelli School in 2017 as a clinical associate professor in finance, teaching in the quantitative finance area. Prior to joining Fordham, Dr. Sheng worked on Wall Street for 20 years and has a wide range of experience including derivatives modeling, running a multi-strategy hedge fund, automated market making in fixed-income securities, and high-speed options trading.

Dr. Sheng earned a bachelor's degree in physics from Peking University and a PhD in physics from Cornell University.

Ren-Raw Chen, PhD


Dr. Chen specializes in modeling term structure of interest rates and credit risks, automating pricing models for trading desks and rating agencies, deriving closed-form solutions, implementing lattice and Monte Carlo simulations, and complex calibrations.

Dr. Chen has published papers in major academic and professional journals including: Review of Financial Studies, Journal of Financial and Quantitative Analysis, Journal of Banking and Finance, Journal of Fixed Income, and Journal of Derivatives. He has implemented pricing models for financial companies, including credit derivatives pricing models for Lehman Brothers, structural default models for Moody's KMV, convertible bond and fixed-income derivatives models for Grand Cathy Securities Corporation, and a two-factor HJM model for Polypaths Software.

Dr. Chen has taught at Rutgers, the State University of New Jersey; the University of Pittsburgh; National Taiwan University; and Hong Kong University.

He received his bachelor’s degree from National Taiwan University and his master’s degree from the University of Illinois, where he also received a PhD in finance.

Sudip Gupta, PhD

Clinical Associate Professor

Dr. Gupta’s current research interests are in the interface of artificial intelligence, machine learning, and fintech. He has also co-authored multiple articles on credit derivatives (CDS), IPO, debt market, and treasury auctions. He has presented his research at top-level academic meetings and institutions worldwide and has been a consultant for international organizations. He also served as a consulting expert for multiple antitrust and financial litigations.

Dr. Gupta has taught at Indiana University’s Kelley School of Business, Indian School of Business, New York University’s Stern School of Business, and the University of Maryland’s Smith School of Business, in the areas of corporate finance, econometrics, fintech, investments, and machine learning at both undergraduate and graduate levels. He has received awards for both research and teaching. He has a PhD in economics from the University of Wisconsin, Madison. 

Yuewu Xu, PhD

Associate Professor

Dr. Xu’s research interests are in theoretical and empirical asset pricing, and financial econometrics. His publications have appeared in academic journals such as the Journal of Finance, Journal of Financial Economics, and the Journal of Econometrics. Dr. Xu also worked in a major asset-management firm for five years.

He earned a PhD in finance and a PhD in statistics at Yale University.