[Google Scholar] [Curriculum Vitae]

My research lies at the intersection of law, AI, and local governance. I use computational methods to identify policy interventions that promote grassroots civic participation. I am also interested in how we can use AI to foster equitable K-12 education and close government agencies’ policy-implementation gap.

As a computer science major at U-Michigan, I was fortunate to be advised by Prof. Rada Mihalcea. Under her guidance, I learned to deploy NLP for social good applications. After graduation, I held a pre-doctoral research fellowship at Stanford Law School, where I applied NLP to the study of law, history, and public policy under Prof. Julian Nyarko’s mentorship. I then began law school at Stanford and am now a PhD student at Harvard’s Government Department and Kennedy School, where I am affiliated with the Institute for Quantitative Social Science and the Center for American Political Studies.

My interests in public service have led me to a range of experiences, from interning at The New York Times Beijing Bureau, to serving as Counsel to the Commissioner at Namibia’s national tax agency, and to pursuing free speech litigation at the Knight First Amendment Institute in New York. I also build the crowdsourcing news tracker Surge.fm (浪潮) and did extensive K-12 outreach service at Tau Beta Pi (MI-G), the engineering honor society.