Ruqing Xu

许茹清

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I am a fifth year Ph.D. candidate in Economics at Cornell University, with a minor in Computer Science. My CV is available here. You can reach me at rx24@cornell.edu.

My research is at the intersection of Economics and Computer Science. I study learning and information empirically and theoretically. A theme of my current research is to combine theory and evidence in human-AI collaboration to design algorithms around human biases, see here.

I am a member of Cornell’s initiative on Artificial Intelligence, Policy, and Practice (AIPP). During my Ph.D., I have interned at Microsoft Research New England as a research intern, and at Amazon as an economist.

I obtained my undergraduate degree at the University of Hong Kong with First Class Honours in Comparative Literature and Economics. I also spent a wonderful year at Yale University via the selective Y-VISP program.

In a past life, I ride horses and take pictures of stars. View some of my works here.

How to pronounce my name? Audio.

News

Jul 10, 2025 I’m co-organizing a Workshop on Human-Algorithm Collaboration at EC (July 7-10) this year!
May 21, 2025 Will present in the spotlight and poster session of the Tenth Marketplace Innovation Workshop (MIW)!
Apr 21, 2024 Paper accepted at the Econometric Society Interdisciplinary Frontiers conference!
Aug 20, 2022 Selected to participate in the Machine Learning in Economics Summer Institute at UChicago.