Welcome


About. I am a Ph.D. candidate in Computer Science at Stanford University, co-advised by Professors Dan Jurafsky and James Zou, and a J.D. candidate at Stanford Law School. I study the capabilities and limitations of language models, focusing on reasoning, detecting and mitigating hallucinations, and designing applications with substantial societal impact. I also pursue legal scholarship on constitutional and administrative law, AI governance, and regulatory policy, working closely with Professor Daniel E. Ho at the Stanford RegLab.

I previously graduated from Harvard College with a joint degree in Mathematics and Computer Science and a secondary field in Folklore & Mythology. My undergraduate thesis, advised by Professor Stuart M. Shieber, received the Thomas T. Hoopes Prize. My work has appeared in Nature Machine Intelligence, The Lancet Digital Health, Journal of Legal Analysis, Journal of Empirical Legal Studies, ACL, EMNLP, ICLR, and NeurIPS. I have interned as a research scientist at Google Brain, Microsoft Research New England, Meta’s GenAI/Llama team, and OpenEvidence, and served as a legal intern at the Administrative Conference of the United States and a litigation summer associate at WilmerHale. My graduate work has been generously supported by the Google Ph.D. Fellowship, the Stanford HAI-SAP Fellowship, and the Stanford Law School Fellowship.