Sudip Gupta

Professor Sudip Gupta is a faculty in the finance area at Johns Hopkins University’s Carey Business School.

His current research and teaching interests are in the areas of Artificial Intelligence (AI)-Machine Learning (ML), Auctions, Corporate Finance, ESG, Fintech and healthcare. He is an award-winning teacher, and his research has appeared in top academic journals and nominated for best paper awards in multiple peer reviewed conferences. He won the best paper published award (for 2022) for his paper on machine learning based textual analysis in finance at Quarterly Journal of Finance (QJF). He has written papers in the areas of auctions, alternative data and credit rating, credit derivatives, ESG ratings and portfolio formation with alternative data, IPOs, nowcasting with alternative data, treasury auctions etc. His work on using alternative data and machine learning to improve credit access for the unbanked has received wide academic, policy and practitioner attention.

Prof Gupta’s current research focuses on AI-ML issues in finance and healthcare. His current projects include algorithmic bias in health care and fintech market, predictive model of financial toxicity and cancer care, etc. Prof. Gupta is a fellow of the Centre for Responsible AI. He is also a core faculty of the Hopkins Business of Health Initiative (HBHI) and an active member of the Centre for Digital Health and Artificial Intelligence (CDHAI) at Johns Hopkins University-Carey Business School. Prof Gupta was also a co-recipient of the Nexus (Convening) Award for Artificial Intelligence for Health Equity Research (AIHE) at Johns Hopkins University.

Prof Gupta is a data hackathon champion and consults various multinational financial corporations and government committees. He has served as an expert in multiple high profile financial class action litigations. He is often consulted as an antitrust expert worldwide in various M&A, price-fixing, damages analysis etc. cases.

Prof Gupta was part of a government financial market regulator panel to design the regulation for AI-ML for the financial market.

Prior to joining Carey, Prof Gupta was a faculty and director of the top ranked MS in Quant Finance program of the Gabelli School of Business (GSB), Fordham University, where he introduced and taught big data-machine learning in finance in the MS curriculum.

Previously, Dr. Gupta was a full-time faculty member and taught at Indiana University’s Kelley School of Business, Indian School of Business (ISB), New York University’s Stern School of Business, and the University of Maryland’s Smith School of Business. He was the recipient of the Dean’s Impact award for faculty excellence and high impact in research, teaching, and service at GSB. He has a PhD in economics from the University of Wisconsin, Madison.

Prof Gupta currently serves on the editorial board of the Journal of Financial Data Science and Journal of Portfolio Management; two leading academic journals in finance.