Jenny Y. Huang

Jenny Y. Huang


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 worked with Jason Xu, David Dunson, Cynthia Rudin, and Rick Durrett. Before Duke, I went to the NC School of Science and Math, where I developed my love for all things STEM.

In my free time, I enjoy dance (hip-hop, swing, ballet), volleyball, and poetry!

  • Bayesian Inference
  • Robust ML
  • Epidemic Modeling
  • Causal Inference
  • PhD in Electrical Engineering and Computer Science (in progress)

    Massachusetts Institute of Technology

  • BSc in Statistical Science, 2023

    Duke University

  • BSc in Computer Science, 2023

    Duke University


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


(2023). Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic. StatMed.


(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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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.
May 2019 – August 2019 Morrisville, NC


Python + PyTorch

4 years experience


4 years experience


4 years experience