I am a third-year PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where I am advised by Tim Althoff.
My research centers on how we can build tailored tools (especially those powered by Large Language Models) to support data analysts in authoring more reproducible and higher quality analyses. Broadly speaking, I am interested in
Natural Language Processing and
Human-AI Interaction with applications to data science. See my past projects below!
Previously, I graduated with a BS in Computer Science from UCLA where I worked on graph deep learning problems under professor Yizhou Sun and professor Wei Wang. Between my bachelor’s and the start of my PhD, I was an applied research scientist at Georgian, a venture capital firm that invests in growth-stage start-ups. In the summer of 2023, I was a research intern in the Visual and Data Analytics (VIDA) group at Microsoft Research.
- Understanding and Supporting Debugging Workflows in Multiverse AnalysisCHI 2023
- A Package for Learning on Tabular and Text Data with TransformersNAACL Workshop on Multimodal Artificial Intelligence 2021As of September 2023, the toolkit has been downloaded over 43,000 times!
|Sep, 2023||🎉 I’ve transitioned to a new website to better highlight my research! Explore my latest findings and projects here.|
|Jun, 2023||🏔 Started my internship at Microsoft Research with Chenglong Wang and Steven Drucker!|
|Apr, 2023||🇩🇪 Attended CHI 2023 in Hamburg, Germany! This was my first in-person conference and my first time in Europe!|