About me

My name is Jean Pouget-Abadie. I am a second-year PhD candidate in Computer Science at Harvard University where I am advised by Edoardo Airoldi and Salil Vadhan. I am also a member of the EconCS group at Harvard. I recently interned at Facebook as a research intern with the Core Data Science team. Before Harvard, I was an undergraduate at Ecole Polytechnique, Paris.

Email me at "jeanpougetabadie" + "@g.harvard.edu"

You can find my CV here

Work in Progress

  • Teaching
    Teaching Fellow for CS181 "Intro to Machine Learning" with Prof. Finale-Doshi Velez. Course website (for Harvard students).

  • A/B tests
    Naive A/B tests for link formation algorithms lead to biased performance evaluations. In submission.

  • Covert Ads
    Detecting undeclared advertisements on social networks. In submission.


  • 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]


  • Reading notes on submodular maximization here