Scholar
Panos Toulis
Google Scholar ID: Tq1gdBUAAAAJ
University of Chicago, Booth School
Citations & Impact
Citations
1,081
H-index
16
i10-index
19
Publications
20
Co-authors
33
list available
Contact
Publications
Resume (English only)
Academic Achievements
- His research has been published in the Journal of the Royal Statistical Society, Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Statistics and Computing, and Games and Economic Behavior, as well as in major machine learning and economics conferences. For his research, Toulis has received the Arthur P. Dempster Award from Harvard University’s Department of Statistics, the LinkedIn Economic Graph Challenge award, and the 2012 Google United States/Canada PhD Fellowship in statistics.
Research Experience
- Worked as a software engineer at Google Inc. and at startup companies in Greece. Currently an Associate Professor of Econometrics and Statistics, and John E. Jeuck Faculty Fellow at the University of Chicago Booth School of Business.
Education
- PhD in Statistics from Harvard University in 2012, advised by Edo Airoldi, David Parkes, and Don Rubin; MS in Statistics and Computer Science from Harvard University; BS in Electrical and Computer Engineering from Aristotle University in Thessaloniki, Greece.
Background
- Studies causal inference in complex settings (e.g., networks) through resampling methods such as permutation tests. He is also interested in the design of experiments on networks, and generally the interface between statistics and optimization. Holds a PhD in statistics from Harvard University, advised by Edo Airoldi, David Parkes, and Don Rubin. Also holds MS degrees in statistics and computer science from Harvard University, and a BS in electrical and computer engineering from Aristotle University in Thessaloniki, Greece.
Miscellany
- Enjoys science fiction, history, and politics.
