Prof. Yue Fang is Professor Emeritus at at China Europe International Business School (CEIBS), Founding Executive Dean of Shenzhen Silico Management Innovation Research Institute and Director of CEIBS Research Centre for AI and Management Innovation. He has long been deeply engaged in the digital economy, enterprise digital-intelligence transformation, management decision innovation, AI-driven organizational change, and industrial implementation practice, establishing himself as an authoritative expert who bridges academia and industry.

Grounded in the frontiers of the discipline, Professor Fang has continuously led efforts to build high-end platforms integrating industry, academia, and research. In 2018, he founded the Big Data Research Center at CEIBS and served as its inaugural director. In 2024, he spearheaded the establishment of the CEIBS AI and Management Innovation Research Center, focusing on how artificial intelligence is reshaping organizational forms, management models, and industrial landscapes, dedicated to building AI-driven organizations and enterprise digital-intelligence transformation, and committed to creating an AI industry-academic-research platform with the distinctive qualities of a top business school as well as a high-end industry think tank. From 2018 to 2025, Professor Fang served as Department Chair of Economics and Decision Sciences at CEIBS—the first Director of the CEIBS AI-powered Enterprise and Management Research Area—and concurrently held the EVE Energy Chair Professorship in Economics and Decision Sciences.

Professor Fang has a top-tier international academic background and rich cross-disciplinary industry experience. He earned a Bachelor's degree in Applied Mathematics from Tsinghua University, and a Master's degree in Operations Research and a Ph.D. in Decision Sciences from the MIT Sloan School of Management. Prior to joining CEIBS, he was a tenured professor and taught at several universities in the United States, and held positions as Research Fellow at the MIT International Financial Services Research Center, the MIT Leaders for Manufacturing program, and the Energy Information Administration (EIA) at the U.S. Department of Energy. From 2005 to 2018, he served as Executive Director of a U.S. energy hedge fund. He has also long provided consulting services to multinationals including GE Capital, Intel Capital, and AT&T, as well as many Chinese companies.

In 2026, Professor Fang was appointed as the Founding Executive Dean of Shenzhen Silicon Management Innovation Research Institute. Leveraging China's first government-enterprise-academia platform focused on AI organizational change, he is building a three-in-one empowerment system of "management theory + transformation methodology + industry implementation cases" for enterprise AI transformation, working with industry partners to advance silicon-based management implementation and comprehensive intelligent upgrades, and constructing an AI-native collaborative operating system suited to the new era of enterprise development. In addition, he founded and serves as Chairman of the Super Intelligent Entity AI Management Innovation Alliance, is a member of the Expert Advisory Committee for the Shanghai Municipal Government's 15th Five-Year Plan, and has been appointed as a special advisor to the New Growth Institute of the Harvard Business Review, the Shanghai Artificial Intelligence Industry Association, CCTV's "Powerhouse Manufacturing" program, and other authoritative think tanks and industry platforms, deeply empowering transformation and upgrading across key industries such as technology, high-end manufacturing, automotive, and finance.

In terms of academic publications, Professor Fang has authored Digital Leadership (Oriental Publishing Center, 2019) and Four-Wheel Drive: The Path of Digital Innovation in China's Automotive Industry (China Machine Press, 2024). The latter was awarded "The Best Book of 2024 by Treasury Online," and Professor Fang also received the "2024 Best Author Award" from the Huazhang Branch of China Machine Press. In May 2026, his two new books exploring how corporations evolve in the AI era—Super Intelligent Entity: Infinite Evolution of Enterprises and Super Intelligent Entity Launch Book: A Handbook for Enterprise AI Transformation—were published by China Machine Press, systematically expounding the integrated development logic of "machine intelligence humanization, ubiquitous individual intelligence augmentation, and organizational collective intelligence," providing a complete implementation system for enterprises to break through the limitations of AI-as-tool and build self-iterating super-intelligence organizations.

At the forefront of industry, Professor Fang has long focused on the AI industrial ecosystem and technology application research. In collaboration with leading industry think tanks and consulting firms, he has led a series of industry research projects and published numerous widely influential white papers and special research reports. Representative achievements include the 2026 China AI Industry Development and Commercial Application White Paper, 2026 China Technology Trends and TECH100 Tech Products, AI Industry Panorama Insights Report (2025), Research Report on the Practical Application of Large Language Models in China (2025), China Software Technology Development Insights and Trend Forecast Report (2025), and China AI Developer Application Ecosystem Survey Report (2024). These outputs precisely assess industry trends and distill implementation experience, providing important intellectual and empirical support for the standardized, high-quality development of China's AI industry.

Professor Fang's research 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. Throughout his academic career, he has received numerous awards, including 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.