Sanjiv Das is the William and Janice Terry Professor of Finance and Business Analytics at Santa Clara University. He holds a Ph.D. in Finance from New York University, an M.S. in Computer Science from the University of California, Berkeley, and an M.Phil in Finance from NYU. His research integrates machine learning and data science with financial economics, focusing on algorithmic fairness in credit scoring, credit risk modeling via graph machine learning, and systemic risk in banking networks. Recent work includes reinforcement learning for goals-based wealth management and AI-driven analysis of human capability. He has collaborated with institutions including Harvard, Stanford, Oxford, and the National Bureau of Economic Research. His awards include the Financial Management Association’s Best Paper and Best Thesis Awards.
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