I am a PhD student in computer science at Brown University, advised by Uğur Çetintemel and supported in part by an NSF Graduate Research Fellowship. Since Fall 2025, I have also been working part-time with Snowflake AI Research. I am broadly interested in the intersection of databases and AI, with a current focus on enhancing trust in semantic data processing systems via declarative guardrails.

I graduated from Amherst College with a Bachelor of Arts in computer science and mathematics. At Amherst, I explored scalable and statistically-sound data mining algorithms as a research assistant in the Data* Mammoths research and learning group led by Matteo Riondato.

Between my time at Amherst and Brown, I worked as a software engineer at Microsoft in Redmond, WA.

As for hobbies, I enjoy playing tennis, ice hockey, guitar, and cello!

News

2026-01-26 NEDB Day: I gave a talk at NEDB Day on Evergreen, a system for reliably and efficiently verifying claims in semantic aggregates. This work is a collaboration with Snowflake AI Research.

2025-11-25 University of Arizona: I gave a talk on Declarative Guardrails for Semantic Data Processing Systems at the University of Arizona’s data systems seminar.

2025-05-27 Snowflake: I started my research internship at Snowflake AI Research, supervised by Anupam Datta.

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