Panos Toulis studies causal inference in complex settings, such as networks or multi-agent economies. He is also interested in the interface of statistics and optimization, particularly in inference problems on large data sets through stochastic gradient descent. His research has been published in the Annals of Statistics, Journal of Statistical Software, Games and Economic Behavior, and Statistics and Computing, and in major machine learning and economics conferences. For his research, Toulis has received the Arthur P. Dempster...