I am a second-year master student at Princeton University Theory of Computation group, where I am fortunately advised by Matt Weinberg.

My research focuses on the interface of Computer Science and Economics, where I am interested in leveraging algorithm design to expand the frontier of Economics theory. My main approach utilizes theoretical techniques from optimization, probabilistic theory, complexity, graph theory, etc. I had experience doing research in algorithmic information design, algorithmic auction design, and am currently devoting myself to understanding economic implications in blockchain.

I completed my undergraduate degree in Computer Science and Cognitive Science at University of Virginia, where I had the pleasure of working with Haifeng Xu (now at the Department of Computer Science and Data Science Institute at UChicago). After graduation, I spent a year working with Pinyan Lu as a visiting student at Shanghai University of Finance and Economics. Check here for my CV.





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