J.D. CandidateStanford Law School
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I study real-world problems through the lens of computational techniques, particularly natural language processing (NLP). My topics of interest include fostering equitable K-12 education and closing government agencies’ policy-implementation gap.
As an undergraduate student at the University of Michigan, I was beyond lucky to be advised by Prof. Rada Mihalcea. Under her guidance, I studied NLP’s applications in tackling misinformation. At Stanford Law School, I have the fortune to be mentored by Prof. Julian Nyarko, with whom I apply NLP to the studies of law, history, and public policy.
Outside of academia, I build Surge.fm (浪潮), a crowdsourcing news tracker. I also did extensive K-12 outreach service at Tau Beta Pi (MI-G), the engineering honor society. Before entering college, I taught computer engineering and theater performance at a high school in rural Hainan and interned at The New York Times Beijing Bureau.
