Hui Chen (陈晖) is the Nomura Professor of Finance at the MIT Sloan School of Management and a Research Associate at the National Bureau of Economic Research.

His research interests include financial decision-making under credit and liquidity constraints, as well as financial machine learning. His recent work studies how to integrate machine-learning methods with structural modeling in economics, LLM interpretability, and uncertainty quantification. He is also applying machine-learning methods to the dynamic private asset allocation problem.

He is an editor of the Review of Finance and the co-editor of the Annual Review of Financial Economics, past editor of the Review of Asset Pricing Studies, and past associate editor for the Journal of Finance, Review of Financial Studies, Management Science, and Journal of Banking and Finance. He is the recipient of the Journal of Finance Smith Breeden Prize and Dimensional Fund Advisors Prize, among other scholarly awards. He holds a Ph.D. in Finance from the University of Chicago and a B.A. in Economics and Finance from the Sun Yat-Sen University.