Jenny Y. Huang

Jenny Y. Huang

jhuang9@mit.edu

MIT

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 interned at IBM Research, where I worked with Wei Sun and the inference-scaling team on a routing framework for LLM test-time compute. I did my undergrad at Duke University, where I had a lot of fun working with Jason Xu, Cynthia Rudin, David Dunson, and Rick Durrett.

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

Interests
  • Data-centric Machine Learning
  • Uncertainty Quantification
  • Efficient AI
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, 2023

    Duke University

  • BSc in Computer Science, 2023

    Duke University

Publications

(2025). Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings. ICML 2025 Workshop on Models of Human Feedback for AI Alignment.

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(2025). Approximations to Worst-Case Data-dropping: Unmasking Failure Modes. TMLR.

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(2024). Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model. StatMed.

PDF Code DOI

(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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(2022). Selective sweeps in SARS-CoV-2 variant competition. Proceedings of the National Academy of Sciences.

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Experience

 
 
 
 
 
Research Intern
MIT-IBM Watson AI Lab
June 2025 – Present Cambridge, MA
 
 
 
 
 
Communication Fellow
Massachusetts Institute of Technology
January 2024 – Present Cambridge, MA
Coaching MIT students on their communication abilities in scientific writing, talks, and posters.
 
 
 
 
 
Teaching Assistant
Duke University
January 2021 – August 2023 Durham, NC
Three terms of teaching assistant for Intro to Data Science (STA199) and Mathematical Statistics (STA432).
 
 
 
 
 
Data Scientist
Emergo Therapeutics
June 2021 – September 2021 Morrisville, NC
Analyzed clinical trial data, contributing insights guiding Emergo’s decision-making process in clinical trials.
 
 
 
 
 
Intern
Lenovo
May 2019 – August 2019 Morrisville, NC

Skills

Python + PyTorch

6 years experience

LaTeX

5 years experience

R

6 years experience