Jun 17 2019
On July 1, 2019, the latest arrival to Sequoia Hall will be Guillaume Basse, Assistant Professor in the Department of Management Science and Engineering and Department of Statistics. Guillaume has just concluded a 2018-19 Postdoctoral fellowship with UC Berkeley's Department of Statistics, having arrived there upon completion of MA and PhD degrees in Statistics from Harvard. With his adviser Edoardo Airoldi, Guillaume 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.
Guillaume's pre-doctoral journey has been equally wide-ranging. He earned 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 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, Guillaume worked as a decision support analyst, designing a number of experiments on their Ad-Exchange platform. 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.