Jean Pouget-Abadie

Jean (you can call him John if you don't speak French) is a staff research scientist at Google Research in New York. He founded and leads a small causal inference research team within the larger Algorithms & Optimization team, led by Vahab Mirrokni. Jean received his PhD in Computer Science from Harvard University, advised by Edoardo Airoldi and Salil Vadhan. Prior to that, he was an undergraduate at Ecole Polytechnique, Paris. His research interests focus on causal inference and experimental design, particularly when interference is present, but he started his research career by using neural networks to generate new samples from a given distribution. He was a 2017-2018 Siebel scholar.