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. 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

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

2025-03-01 Semantic Integrity Constraints: I am happy to share my first paper in grad school! This is joint work with Deepti and Uğur, along with undergraduate researchers—Justin, Nick, Michael, and Akshay. We present our vision towards declarative guardrails for AI-augmented data processing systems.

2025-01-09 NEDB Day: I gave a talk at NEDB Day about VectraFlow, an AI-augmented data-flow system we are building at Brown. The conference was a nice welcome into the database community!

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