About me 👋
I am a first-year Computer Science PhD student at UC Berkeley, advised by Matei Zaharia and Sewon Min. I'm a member of Sky Computing Lab, Berkeley AI Research (BAIR) and Berkeley NLP Group.
My current research focuses on understanding and improving the reasoning capabilities of language models—especially for tasks that demand more than just the final answer. I'm interested in how to train models more effectively with the right data and better leverage test-time compute. I also investigate how integrating domain knowledge can enable AI systems to better support computer scientists and mathematicians in retrieval‐augmented generation. I care more about making systems precise than making them fast.
Before Berkeley, I earned my BS in Computer Science from Nanjing University. I worked on distributed systems (reliability and verification) and program analysis and have won an OSDI Best Paper Award. I still enjoy talking about those topics—just don't blame me if I mislead you.
I understand how much research success can depend on access and opportunity. If you're from an underrepresented group and think it might help to talk, feel free to reach out by email.