Guillaume Basse joins the Departments of Management Science and Engineering and Statistics as an assistant professor.
Prof. Basse received a BS/MS in Engineering from École Centrale Paris as well as a BA in Applied Economics from Université Paris Dauphine, and spent six months as a visiting research assistant at the Weizmann Institute of Science in Israel. He earned a MA and PhD degrees in Statistics from Harvard.
Prof. Basse has been the recipient of a Google PhD Fellowship in Statistics for North America, awarded annually to only one outstanding graduate student in the US or Canada for exceptional work or promising research in computer science or a related discipline.
During a subsequent internship at Google Research, Prof. Basse worked as a decision support analyst, designing a number of experiments on their Ad-Exchange platform. His research focuses on causal inference and design of experiments in the presence of interference.
With his adviser Edoardo Airoldi, Prof. Basse coauthored "Model-assisted design of experiments in the presence of network-correlated outcomes" for Biometrika as well as "Limitations of design-based causal inference and A/B testing under arbitrary and network interference", to appear in Sociological Methodology. Most recently he has presented his research topic "Testing for peer effects in group-formation experiments" at UCLA, UCSB, and at a 2019 Stanford causal inference workshop.
Most recently, Guillaume has completed a year-long Postdoctoral fellowship with UC Berkeley's Department of Statistics advised by Peng Ding.
Guillaume has lived in France, Israel, the US, and Senegal, where he was born.