معرفی
Sanjiv Das is the William and Janice Terry Professor of Finance at Santa Clara University's Leavey School of Business. He holds advanced degrees in Finance, Computer Science, and Management from prestigious institutions like NYU, UC Berkeley, and IIM Ahmedabad. His research focuses on default risk modeling, machine learning applications in finance, derivatives pricing, and venture capital. He has authored over 80 academic articles and received the Harry Markowitz Award in 2019 for his contributions to finance. Professor Das serves as a senior editor for The Journal of Investment Management and co-editor of The Journal of Derivatives. Before academia, he worked in derivatives at Citibank and currently holds a Senior Fellow role at the FDIC Center for Financial Research.
He has held faculty positions at Harvard Business School and UC Berkeley. His work bridges theoretical finance with practical applications, emphasizing interdisciplinary approaches. Key interests include leveraging machine learning for financial modeling and exploring social networks' impact on market dynamics. His book Derivatives: Principles and Practice (2010) remains a foundational text in the field.
