I'm a second-year Master's student in Computer Science at Princeton University advised by Aleksandra Korolova, working in the Center for Information Technology Policy.
My research centers around the fairness, transparency, and privacy of algorithmic systems, particularly in the context of generative AI and online platforms. I use methods such as algorithmic audits and empirical evaluations to study the impacts of emerging technologies to inform public policy and regulation. My work has been published in venues such as ACM FAccT and AIES.
I recently started a blog, Eclectic Notes on AI with Aleksandra Korolova. Check it out!
News
- [6/25] I'm attending FAccT '25 in Athens! I'll be presenting my paper Adultification Bias in LLMs & Text-to-Image Models.
- [3/25] I presented "Rethinking Math Benchmarks for LLMs using IRT" at the iRAISE Workshop @ AAAI in Philadelphia.
- [01/25] Started as a Teaching Assistant for COS126: Introduction to Computer Science. I'll be teaching alongside my professor when I was a student in 2020, Alan Kaplan!
- [10/24] I presented "Why Am I Still Seeing This?" at AIES 2024 and Tech Policy: The Next Ten Years.
- [09/24] Started as a Teaching Assistant for COS350: Ethics of Computing.
- [07/24] "Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems" accepted to AIES 2024!
Publications
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Adultification Bias in LLMs and T2I ModelsACM Conference on Fairness, Accountability, and Transparency (FAccT '25), 2025. Paper
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Missing the Mark: Rethinking Math Benchmarks for LLMs using IRT
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Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems7th AAAI Conference on AI, Ethics, and Society (AIES '24), 2024. Paper
Misc
Outside of graduate school, I enjoy spending time outside and playing sports. I was a member of the inaugural Varsity Women's Rugby team at Princeton and was selected to the National Intercollegiate Rugby All-Academic team in 2023.
I'm always happy to discuss research ideas or talk to students thinking about applying to graduate school.