Jenny Y. Huang

Welcome everyone!

I am a third year PhD student studying machine learning at MIT, working in the department of Electrical Engineering and Computer Science with Professor Tamara Broderick. My work is supported by the Amazon AI Research Innovation Fellowship and has been supported by the MIT Presidential and Quad Fellowships.

Recently, I have been thinking about problems in multi-turn interactions in LLMs. Previously, I worked on problems in AI evaluation and trustworthy data science. I have interned at the MIT-IBM Watson AI Lab and Google Research (upcoming!).

In my free time, I enjoy writing in coffee shops, rummaging through Cambridge bookstores, and signing up for dance classes on a whim!

Education

PhD in Electrical Engineering and Computer Science (in progress)
Massachusetts Institute of Technology
SM in Electrical Engineering and Computer Science, 2025
Massachusetts Institute of Technology
BSc in Statistical Science & BSc in Computer Science, 2023
Duke University

Publications

Jenny Y. Huang*, Yunyi Shen*, Dennis Wei, Tamara Broderick (2026). Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings. ICLR 2026 (Top 0.1% of submissions).

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Jenny Y. Huang, David R. Burt, Tin D. Nguyen, Yunyi Shen, Tamara Broderick (2025). Approximations to Worst-Case Data-dropping: Unmasking Failure Modes. TMLR.

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Jenny Y. Huang, Raphaël Morsomme, David Dunson, Jason Xu (2024). Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model. StatMed.

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Gaurav Parikh*, Jenny Huang*, Albert Sun*, Lesia Semenova, and Cynthia Rudin (2022). Moving towards a more equal world, one ride at a time: Studying Public Transportation Initiatives using interpretable causal inference. NeurIPS-22.

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Laura Boyle, Sofia Hletko, Jenny Huang, June Lee, Gaurav Pallod, Hwai-Ray Tung, and Richard Durrett (2022). Selective sweeps in SARS-CoV-2 variant competition. Proceedings of the National Academy of Sciences.

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