Agostino Capponi is a Professor in the Department of Industrial Engineering and Operations Research at Columbia University, where he is also a member of the Data Science Institute and the founding director of the Columbia Center for Digital Finance and Technology.

His current research interests are in financial machine learning, financial technology, digital assets, market microstructure, and networks. His research has been recognized with the 2018 NSF CAREER award, a JP Morgan AI Research Faculty award, the UBRI Innovator award, and the Presidential Early Career Award for Scientists and Engineers award (PECASE). His research has also been covered by various media outlets, including Bloomberg, the Financial Times, Vox, and Politico. Agostino serves as an editor of Management Science in the Finance Department, co-editor of Mathematics and Financial Economics, and area editor of Operations Research. Agostino serves on the advisory board of GARP’s AI and Risk Program, and of the Global Risk Institute. Agostino is the former Chair of the SIAG/FME Activity Group and of the INFORMS Finance Section, and is currently a member of the Council of the Bachelier Finance Society. Agostino is co-editor of the book Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices, published in 2023 by the Cambridge University press. An updated version of his CV is available here.