Sudip Gupta is a professor of finance at Johns Hopkins Carey Business School. His current research and teaching interests are in the areas of artificial intelligence-machine learning, auctions, ESG, healthcare and fintech. He is an award-winning teacher, and his research has appeared in top academic journals and received best paper awards. He has written papers in the areas of algorithmic bias, alternative credit rating using machine learning, credit derivatives, ESG ratings and portfolio formation with alternative data, generative AI, nowcasting with alternative data, treasury auctions, etc.
Prior to joining Carey, Prof. Gupta was a faculty and director of the top ranked MSQF program of the Gabelli School of Business, Fordham University, where he had brought big data-machine learning in finance into the MS curriculum. Previously, Gupta was a full-time faculty and had 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 multiple awards for both research and teaching. He has a PhD in economics from the University of Wisconsin, Madison. Prof Gupta is a data hackathon champion, a fellow of the Centre for Responsible AI and consults various multinational financial corporations and government committees. He also served as a consulting expert for multiple antitrust and financial litigations.
Education
- PhD, Economics, University of Wisconsin Madison
- MS Economics, University of Wisconsin Madison
Research
Selected publications
- “Learning to Widen Spreads: Emergent Coordination in AI-Driven Limit Order Books” (2026), accepted Journal of Financial Data Science
- “Using Large Language Models to Estimate Novel Risk: Impact on Volatility”, (2025) (with Hanboya Yan) Journal of Portfolio Management, 51(7) 230-247
- “Financial Inclusion and Alternate Credit Scoring: Role of Big Data and Machine Learning in Fintech” (2023) (with Sumit Agarwal, Shashwat Alok and Pulak Ghosh) Journal of Money Credit and Banking
- “Longitudinal Financial Toxicity and Quality of Life in Head and Neck Cancer: A Mixed-Methods Study” (2025), (with Leila Mady and others), JAMA Otolaryngology-Head & Neck Surgery
- “Public vs. Private Information: Firm Disclosures, SEC Letters and the JOBS Act” (with Sumit Agarwal and Ryan Israelsen) Quarterly Journal of Finance, September (2022), 12-03, pp. 1-42
- “Underwriting Government Debt Auctions” (with Rangarajan K Sundaram and Suresh M. Sundaresan) Management Science (2021) 675, pp. 2657-3320
- “Strategic Overbidding in Dynamic Auctions: Structural Estimation of the Value of Synergy”, Production and Operations Management, (2021), 30-2, pp. 584-605
- “Mispricing and Arbitrage in CDS Auctions” (with Rangarajan K Sundaram) Journal of Derivatives, (2015), 22-4, pp. 79-91
Working Papers
- "Adversarial Robust Surveillance Signals in Algorithmic Dealer Markets", (under submission Management Science)
- "Predicting Recession Resilience: Explainable Macro-Gated Learning, Dynamic Index Composition, and Reinforcement-Learning Rebalancing"
- "Algorithmic Biases in Deep Reinforcement Learning Models: Evidence from Sepsis Data" (with A Senapati)
Teaching
Current
- Empirical Finance
- Machine Learning for Finance
- Linear Econometrics for Finance
- Financial Institutions
- Investments
Honors and Distinctions
- Best Paper Published in Quarterly Journal of Finance in 2022
- Nomination: Carey Faculty Service and Mentorship Award, 2023
- Co-principal Investigator: Nexus (Convening) Award for Artificial Intelligence for Health Equity Research (AIHE) at 555 Penn, Johns Hopkins University, 2023 ($100,000)
- Dean’s Award for Impact for excellence and high impact in research, teaching and service, GSB Data Hackathon Champion on Alternative data and nowcasting
- Trustee Teaching Award: Finalist, Kelley School of Business
- Best Paper Finalist, FMA (multiple years)
Impact and Engagements
Business
- Special Consultant: Economists Inc., 2009–current
- Expert Advisor: Vega Economics, 2017–current
- Senior Advisor: Berkeley Research Group, 2022–current
Policy
- Faculty Fellow: Centre for Responsible AI
- Affiliated Faculty: Centre for Digital Health and AI
- Advisor: Competition Commission of India
- Member: Big Data Task Force Group, State of Karnataka Knowledge Commission