About me
My name is Jean Pouget-Abadie, but non-French speakers can call me John. I am a staff research scientist at Google Research New York on the Algorithms & Optimization team, led by Vahab Mirrokni. Before joining Google, I was a PhD student in Computer Science at Harvard University, advised by Edoardo Airoldi and Salil Vadhan. Prior to that, 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. In the past, I looked into using neural networks to generate distributions. I was a 2017-2018 Siebel scholar.
Mini-CV
Staff Research Scientist at Google
with Vahab Mirrokni in the algorithms research group (2018-)Spotify summer internship
with the Discover Weekly team (music recommendation) (2017)Facebook summer internship
with Udi Weinsberg on the Core Data Science Team (2015)Harvard University
PhD program in Computer Science (2014-2018)MILA, Université de Montréal
with Yoshua Bengio in Deep Learning (2014)École Polytechnique
Diplôme d'ingénieur (2011-2014)
Selected Publications
Design and analysis of bipartite experiments under a linear exposure-response model
Christopher Harshaw, Fredrik Savje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie. EJS 2023 [arXiv, EJS]Testing for arbitrary interference on experimentation platforms
Jean Pouget-Abadie, Martin Saveski, Guillaume Saint-Jacques, Weitao Duan, Ya Xu, Souvik Ghosh, and Edoardo M. Airoldi. Biometrika 2019. [arXiv, Biometrika]Dealing with Interference on Experimentation Platforms
Jean Pouget-Abadie. Harvard 2018. [Dissertation]Generative Adversarial Networks
Ian Goodfellow, Jean Pouget-Abadie, Medhi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. NeurIPS 2014 [arXiv, NeurIPS]
Mentorship
I've had the privilege of mentoring some incredible Google interns and AI residents over the years: Khashayar Khosravi, Nick Doudchenko (now full-time @ Google), Chris Harshaw, Jennifer Brennan (now full time @ Google), Evan Munro, Ian Waudby-Smith.