Hi! I am a PhD student in the Computer Science department at Stanford University. I am co-advised by Dorsa Sadigh and Dan Boneh. I am also an AI Science Writer at Anthropic. My current research focuses on AI systems that model human knowledge and skill in order to teach, assist, and discover alongside people, rather than in place of them.
During my PhD, I spent time visiting MIT LINGO in Cambridge, MA. Previously, I was an AI Resident at Microsoft Research, and also worked with Hoda Heidari and Andreas Krause on algorithmic fairness through the amazing ETH Zürich Summer Research Fellowship. I completed my undergrad in Computer Science and Creative Writing at Stanford, where I was a member of the Stanford NLP group, and worked with Tatsu Hashimoto, Percy Liang, and Kalanit Grill-Spector.
Updates
June 2026: Presenting our paper Modeling Student Learning with 3.5 Million Program Traces, which was accepted to AIED 2026 in Seoul, South Korea.
May 2026: Presenting our paper Hawkeye: Reproducing GPU-Level Non-Determinism, which was accepted to MLSys 2026 in Bellevue, WA.
February 2026: Presenting Modeling Student Learning with 3.5 Million Program Traces at Together AI.
January 2026: Our paper Training large language models on narrow tasks can lead to broad misalignment is published in Nature.
January 2026: Our paper Policy Learning with a Language Bottleneck is accepted to TMLR.
November 2025: Presenting Modeling Student Learning with 3.5 Million Program Traces at Deep Learning: Classics and Trends.
October 2025: Presenting work on AI assistance for pharmacovigilance as a spotlight at Agents4Science, an experimental conference where we have to use AI to guide the research! I wrote a blog post about the experience here.
August 2025: Attending CRYPTO 2025 in Santa Barbara.
March 2025: Presenting our paper Shared Autonomy for Proximal Teaching at HRI'25 in Melbourne, and then visiting Uluru, Tasmania, and the Great Barrier Reef!
January 2025: Presenting our paper Optimistic Verifiable Training by Controlling Hardware Nondeterminism at both the Joint Mathematics Meeting (AI and Cryptography workshop) and University of Washington in Seattle.
December 2024: Presenting our paper Optimistic Verifiable Training by Controlling Hardware Nondeterminism at NeurIPS'24 in Vancouver.
November 2023: Presenting our paper Do Users Write More Insecure Code with AI Assistants? at CCS'23 in Copenhagen
August 2023: Hiked the West Highland Way in Scotland.
July 2023: Presenting our paper Generating Language Corrections for Teaching Physical Control Tasks at ICML'23 in Honolulu, and then cage-free swimming with sharks :)
March 2023: Visiting the Banff International Research Station for Mathematical Innovation and Discovery for the Research Directions in Number Theory WIN6 workshop.