Francesco Sangiorgi is Professor of Finance at Frankfurt School of Finance & Management and Associate Editor at Management Science. He received his Ph.D. from Universitat Pompeu Fabra and previously held positions at Stockholm School of Economics and Collegio Carlo Alberto.

His research explores the economics of information in financial markets, with current work focusing on AI and deep reinforcement learning in trading — how AI agents learn to trade, extract information from prices, and compete in markets with return predictability and price impact.

His work has appeared in Review of Economic Studies, Journal of Financial Economics, Review of Financial Studies, Management Science, and Journal of Economic Theory.