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 AI-augmented data systems via integrity constraints (a.k.a. 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

2025-03-01 SICs: I am happy to share my first paper in grad school! This is joint work with Deepti and Uğur, along with phenomenal undergraduate researchers—Justin, Nick, Michael, and Akshay. We present on our vision for semantic integrity constraints in 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!

2024-04-15 Brown CS PhD: I committed to Brown University for my PhD in computer science! Thank you to all my professors, friends, and family who supported me during this application process. I am so excited to start in the Fall as a member of the Brown Database Group, led by Uğur Çetintemel.

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