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My interests lie at the intersection of machine learning, public policy, and law. Specifically, I plan to pursue computational empirical research that could inform policymakers on how to elevate public discourse, foster equitable K-12 education, and close 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 am also a volunteer donkey handler at Barron Park Donkey Project, a community donkey sanctuary in Palo Alto. 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.