Sudip Gupta portrait

Sudip Gupta, PhD

Associate Professor of Practice
Academic AreaFinance
Academic AreaEconomics

Dr. 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 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, Dr. Gupta was a full-time faculty and had 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. 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 and consults various multinational financial corporations and government committees. He also served as a consulting expert for multiple antitrust and financial litigations.


  • PhD, Economics, University of Wisconsin Madison
  • MS Economics, University of Wisconsin Madison


Selected publications

  • Financial Inclusion and Alternate Credit Scoring: Role of Big Data and Machine Learning in Fintech” (with Sumit Agarwal, Shashwat Alok and Pulak Ghosh) (2023) Journal of Money Credit and Banking,
  • “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, (Best Paper Award)
  • "Underwriting Government Debt Auctions” (with Rangarajan K Sundaram and Suresh M Sundaresan) Management Science, (2021) 675, pp. 2657-3320
  • “Strategic Overbidding for Toehold in Dynamic Auctions: Structural Estimation of the Synergy Effect”, 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
  • “Inventory Effects, The Winner’s Curse and Bid Shading in CDS Auctions Outcomes” (with Rangarajan K Sundaram) Journal of Derivatives, (2015), 23-2, pp. 36-52
  • “Shareholder Litigation Rights and Firm Productivity” (with Alona Bilokha) (Minor revision requested), Financial Markets, Institutions & Instruments, 2nd round, (2023)  
  • “Emerging Firms’ Cost of Audit and Audit Quality” (with Joseph Micale, Ashok Rubin and Rong Yang) (Minor revision requested) Accounting and Business Review, 3rd round, (2023)

Working papers

  • “Algorithmic Bias and Health Equity”
  • “Alternative data based ESG ratings and portfolio”
  • “Nowcasting with Alternative data and machine learning”



  • 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 engagement


  • Special Consultant: Economists Inc., 2009–
  • Expert Advisor: Vega Economics, 2017–
  • Senior Advisor: Berkeley Research Group, 2022–


  • 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