Prof. Yue Fang is Professor of Economics and Decision Sciences, EVE Energy Chair in Economics and Decision Sciences at CEIBS, Department Chair of Economics and Decision Sciences and Research Area Director of AI-powered Enterprise and Management. In 2018, he founded the Big Data Research Center at CEIBS and served as the inaugural director. Since the beginning of 2024, he has established and headed the AI and Management Innovation Research Center at CEIBS. The center is focusing on the impact of AI on business management and industrial development, and how to build AI-driven organizations. It is committed to creating an AI industry-academic-research platform with business school characteristics, as well as a high-end think tank for AI and management innovation. 

Prior to joining CEIBS, he was tenured professor and taught at several universities in the United States. He also held positions as Research Fellow at MIT International Financial Services Research Center (IFSRC), MIT Leaders for Manufacturing (LFM) program, and the Energy Information Administration (EIA) at the US Department of Energy. Professor Yue Fang has served as the executive director of a US energy hedge fund for a long time from 2005 to 2018. He has been providing consulting services for multinationals including GE Capital, Intel Capital, AT&T and many Chinese companies in the areas of management innovation in the artificial intelligence time, corporate digital transformation and upgrade, big data application, fintech and etc. Professor Fang Yue is currently a member of the Expert Advisory Committee for Shanghai Municipal Government's 15th Five-Year Plan and also serves as a special advisor to the New Growth Institute of the Harvard Business Review.

Prof. Fang received his B.S. in Applied Mathematics from Tsinghua University, M.S. in Operations Research and Ph.D. in Decision Sciences from MIT Sloan School of Management. His teaching and research interests include artificial intelligence and management innovation, big data and decision analysis, digital economy, digital transformation, fintech and financial engineering, among others. During nearly three decades of academic and research career, he has taught exclusively for MBA and Master/PhD programmes including finance MBA (FMBA), Executive MBA (EMBA), Doctor of Business Administration (DBA), and company specific progammes for executives. Prof. Fang has published intensively in internationally renowned journals, and his recent book "Digital Leadership" (Oriental Publishing Center, 2019) and "Four-Wheel Drive: The Path of Digital Innovation in China's Automotive Industry" (China Machine Press, 2024). This book was awarded the title of "The Best Book of 2024 by Treasury Online" and the author also received the "2024 Best Author Award" from Huazhang Branch of China Machine Press.

Prof. Fang is actively involved in several academic organizations including The American Finance Association, The Econometric Society, The American Statistical Association, The International Institute of Forecasters, and Decision Sciences Institute. His extensive scholarly record has been supported by the U.S. Department of Energy, the Center for Asian and Pacific Studies, Olsen and Associates, the Shanghai Futures Exchange, and a variety of public and private corporations and organizations. He has received the PW Pipe Outstanding MBA Teaching Award, the Scharpe Research Excellence Award, the CEIBS Teaching Excellence Award and the award for the Global Contest for the Best China-Focused Case, among many other accolades for teaching, research grants and has been lauded for excellent performance during his academic career.