About me

My name is Jean Pouget-Abadie, but non-French speakers can call me John. I am a third-year PhD candidate in Computer Science at Harvard University where I am advised by Edoardo Airoldi and Salil Vadhan. Before Harvard, I was an undergraduate at Ecole Polytechnique, Paris. My recent research interests focus on causal inference and experimental design, particularly when network interference is present. You can find my CV (and a way to contact me) here.

Quick links

  • An introduction to non-independent A/B tests can be found here.


  • Facebook Summer 2015 Internship
    Research Internship with Udi Weinsberg on the Core Data Science Team

  • Harvard University
    PhD program in Computer Science (Expected: 2019)

  • MILA@Université de Montréal
    Summer Internship with Yoshua Bengio in Deep Learning

  • Ecole Polytechnique
    Diplome d'ingénieur


  • Inferring Graphs from Cascades: A Sparse Recovery Framework
    Jean Pouget-Abadie and Thibaut Horel. ICML 2015 [arXiv]

  • Generative Adversarial Networks
    Ian Goodfellow, Jean Pouget-Abadie, Medhi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. NIPS 2014 [arXiv]

  • Segmentation for Neural Machine Translation
    Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merriënboer, Kyung Hyun Cho, and Yoshua Bengio. SSST-8 @ EMNLP 2014 [arXiv]

Slow links

  • Reading notes on submodular maximization can be found here.

  • Course website (for Harvard students) for CS181 "Intro to Machine Learning".