About

Expanding Intelligence. Advancing Humanity.

I am a Postdoctoral Research Fellow affiliated with the Center for Science of Science & Innovation at Kellogg, directed by Dashun Wang.

I got my PhD in Information Systems at the Michael G. Foster School of Business, University of Washington. I was fortunate to work under the supervision of Professor Yong Tan. Before my Ph.D. career, I studied Information Management and Information Systems at the School of Economics and Management, Tsinghua University.

I study the economics of human–AI and AI–AI interactions to augment human intelligence, improve well-being, and enhance social welfare in high-stakes domains. My current research spans cultivating intelligence through education, expanding its frontiers through science, and applying it to technological innovation and work. I examine these interactions at the individual, market, and societal levels, translating empirical insights into design principles for AI systems, human–AI collaboration, market mechanisms, and public policy.

I take a multidisciplinary approach, combining economic tools (field experiments, stylized models, structural estimation) with AI methods (primarily reinforcement learning and large language models) to analyze data, infer causality, and optimize policies. My work has appeared in Management Science and Information Systems Research, and has received paper awards from INFORMS, WITS, ICIS, and DSI.

Over the past several years, I have collaborated closely with industry leaders to develop, implement, and evaluate algorithms within high-stakes business environments. I have also partnered with multiple platforms to address critical pain points by integrating their business intuition with rigorous data analysis. Several of the interventions I proposed have been integrated into production, where they continue to deliver substantial business value.

I genuinely enjoy the process of diving deep into data patterns and modeling techniques to ensure I understand the details personally. To maintain this level of hands-on engagement, I must strictly limit the number of new collaborations I initiate each year. For future projects, I prioritize those that meet three criteria: alignment with the topics mentioned above, relevance to important sectors, and the presence of unique data/methodological challenges. Although full-scale collaboration requires a high level of mutual commitment, I am always open to casual chats to exchange perspectives.

Professional Contact: cedric.x.xu@gmail.com

Note: Only the papers listed on this website represent my views.

Updated: 2026/08