About
Hi there! I am a final-year CS Ph.D. candidate at Stanford, advised by Prof. Monica S. Lam at the Stanford NLP Group. My research asks how autonomous systems can become reliable partners for data-driven knowledge work that can extract, explore, and synthesize information across structured and unstructured sources. Some of my representative works include:
- SUQL (NAACL 2024): extending SQL with free-text primitives to query structured and unstructured data
- SPINACH (EMNLP 2024): agentic reasoning over large knowledge bases
- SCRIBES (ICLR 2026, work done at Meta): reinforcement learning for web-scale extraction of semi-structured data
- DataSTORM (COLM 2026): agentic deep research system over large-scale databases and the web
- AI-Driven Reproducibility (preprint 2026, work done at Databricks): automatic robustness analysis for scientific papers
I am grateful to be supported by the 2025–2026 IBM PhD Fellowship Award.
Education
-
Ph.D. in Computer Science, Stanford University
2022 – 2026 (expected) -
B.S. (with Honors) in Computer Science & in Mathematics, minor in Physics, The University of Chicago
2022- Quarter-long exchange (Autumn 2021), California Institute of Technology
News
- Honored to be named a 2026 Rising Star in Data Science by the University of Chicago Data Science Institute. Looking forward to presenting at the workshop in November.
- Wrapped up my summer research internship at Databricks, where I bridged a research collaboration with Stanford. Check out our paper on AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery.
- DataSTORM, our deep-research system for large-scale databases, is accepted to COLM 2026.
- Thrilled to represent Stanford at Databricks' inaugural Grounded Reasoning Cup — and we won 1st place! Thank you to our mentors from Anthropic. Check out our winning solution in Databricks' writeup.
- SCRIBES (work done at Meta) is accepted to ICLR 2026.
- Honored to receive the IBM PhD Fellowship Award (2025–2026).
Industry Experience
-
Research Scientist Intern, Databricks Mosaic AI Research
Jun. – Sept. 2026 -
Research Scientist Intern, Meta Reality Labs (in collaboration with FAIR at Meta)
Jun. – Sept. 2025
Selected Publications
† denotes joint first authorship. Full list on Google Scholar.
Awards
- Rising Star in Data Science, The University of Chicago Data Science Institute · 2026
- 1st Place, Databricks Grounded Reasoning Cup · 2026
- IBM PhD Fellowship Recipient · 2025–2026
- Brown Institute Magic Grant · 2024–2025
- Top-5% of Stanford CS Course Assistants (Stanford CS224V) · 2023
- Graduated Summa Cum Laude, The University of Chicago · 2022
- Outstanding Undergraduate Researcher Award, Honorable Mention, CRA · 2022
Beyond Research
Away from the keyboard, I love playing tennis 🎾, badminton 🏸, bouldering 🧗, and most passionately, snowboarding 🏂. If a paper deadline lands on a powder day, my thoughts are with the mountain 🏔️❄ Right after deadlinesYou might see me scrambling for first chairs at Palisades, Heavenly, or sending The Wall off Kirkwood's Chair 10..