Dr. Sudip Gupta Associate Professor Johns Hopkins University Carey Business School
Professor Sudip Gupta is an associate professor of finance at Johns Hopkins Carey Business School.
His current research and teaching interests are in the areas of Auctions, Big Data-Machine Learning, Corporate Finance, ESG and Fintech. He is an award-winning teacher, and his research has appeared in top academic journals. He has written papers in the areas of credit derivatives, treasury auctions, IPOs, nowcasting with alternative data, alternative credit rating, ESG ratings and portfolio formation with alternative data etc.
Prof Gupta is a data hackathon champion and consults various multinational financial corporations and government committees. Moreover, his consulting areas and expertise include auctions, credit derivatives, ESG, financial class action litigations, fintech, machine learning and textual analysis, merger simulations etc. Furthermore, he has served as an expert in multiple high profile financial class action litigations.
Prior to joining Carey, Prof Gupta was a faculty and director of the top ranked MSQF program of the Gabelli School of Business (GSB), Fordham University, where he introduced and taught big data-machine learning in finance into the MS curriculum.
Previously, Dr. Gupta was a full-time faculty 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, in the areas of corporate finance, econometrics, fintech, investments, and machine learning at both undergraduate and graduate levels. Lastly, 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.
In addition, see our interview with Professor Gupta: