Jenny Y. Huang

Jenny Y. Huang


Welcome everyone!

I am a first year PhD student studying machine learning at MIT, grateful to be working in the department of Electrical Engineering and Computer Science in LIDS with Professor Tamara Broderick!

Before coming to MIT, I did my undergrad at Duke University, where I worked with a host of amazing people, including Jason Xu, David Dunson, Cynthia Rudin, and Rick Durrett. Before Duke, I went to the NC School of Science and Math, where I developed a love for all things STEM!

Outside of STEM, I enjoy poetry (particularly, nature-themed) and dance (hip-hop, swing, ballet)!

  • 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


(2022). Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model.

PDF Code

(2022). Moving towards a more equal world, one ride at a time: Studying Public Transportation Initiatives using interpretable causal inference. NeurIPS-22.

PDF Code

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

PDF Cite Code

(2022). Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic. StatMed.


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



4 years experience


4 years experience


4 years experience