Two papers accepted as Spotlights at ICML 2025: pitfalls of LLM train set inclusion and manipulating Chatbot Arena; Best paper award at the ICLR'24 DPFM Workshop; Led the CMU team to win 1st place at the US-UK Privacy-Enhancing Technologies (PETs) Prize Challenge in March 2023.
Research Experience
Worked with Dan Boneh at the Applied Cryptography Group and did AI research at Google DeepMind; Taught CS221 at Stanford with Percy in September 2025; Launched the UQ project in August 2025; Gave talks on pitfalls of LLM train set inclusion at Stanford, Berkeley, and OpenAI in August 2025; Guest lectured on intro to ML privacy at Northeastern University CS7375 in October 2024; Gave three talks at Google DeepMind around LLM training set inclusion, privacy, and unlearning respectively in August 2024.
Education
PhD in Computer Science from Stanford University, advised by Percy Liang and Sanmi Koyejo.
Background
A PhD student in Computer Science at Stanford, with research interests including language models, data & user privacy, and sometimes their intersection. He is part of Stanford NLP, Stanford ML, and Stanford Trustworthy AI Research (STAIR).