Conference on Empirical Methods in Natural Language Processing · 2024
Cited
35
Resume (English only)
Academic Achievements
Published papers include 'RADAR: Benchmarking Language Models on Imperfect Tabular Data' (NeurIPS 2025), 'The Anatomy of a Personal Health Agent' (Preprint), 'BLADE: Benchmarking Language Model Agents for Data-Driven Science' (EMNLP 2024), etc. Involved in multiple research projects such as RADAR and BLADE.
Research Experience
Student researcher at Google Research; Interned at Tableau Research and Microsoft Research's Visual and Data Analytics (VIDA) group; Earlier in his PhD, he explored AI tools for reproducible and reliable data analyses.
Education
PhD in Computer Science from the University of Washington (Advisor: Tim Althoff); BS in Computer Science from UCLA (Studied graph deep learning). Formerly an applied research scientist at Georgian, a venture capital firm that invests in growth-stage start-ups.
Background
Research Interests: Development and evaluation of Language Model agents, data-driven scientific discovery; Field: Computer Science; Background: A final-year PhD student in Computer Science at the University of Washington, advised by Tim Althoff.