Jenny Y. Huang

Jenny Y. Huang

jhuang9@mit.edu

MIT

Welcome everyone!

I am a second year PhD student studying machine learning at MIT, working in the department of Electrical Engineering and Computer Science with Professor Tamara Broderick.

Before coming to MIT, I did my undergrad at Duke University, where I had a really fun time working with Jason Xu, Cynthia Rudin, David Dunson, and Rick Durrett. Before Duke, I went to the NC School of Science and Math, where I developed a love for all STEM-y things.

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
  • Bayesian Methods
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

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

PDF

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

PDF Code DOI

Achal Aswathi, Volodymyr Minin, Jenny Huang, Daniel Chow, and Jason Xu (2023). Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic. StatMed.

PDF

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.

PDF Code

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.

PDF Cite Code

News

Data Dropping Media
Imagine dropping <1% of the data in your dataset and seeing the conclusions to your data analysis change. It’d be nice to have a fast way to check whether such a small fraction of data existed!
Last updated on Apr 27, 2025 1 min read
Data Dropping Media
Quad Fellowship Summit
This June, I had the pleasure of joining the first ever cohort of #QuadFellows: a group of young scholars and founders dedicated to the world’s leading #STEM challenges. At the summit, I had the opportunity to engage in thought-provoking discussion and talk to leading voices in government, academia, and industry on ways we can leverage STEM for social good – feeling humbled and inspired!
Last updated on Jul 4, 2024 1 min read
Quad Fellowship Summit

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

4 years experience

R

4 years experience

LaTeX

4 years experience