|Office:||1810 Liacouras Walk, Room 339|
Dr. Edoardo M. Airoldi is the Millard E. Gladfelter Professor of Statistics and Data Science. He also serves as Director of the Fox School’s Data Science Center.
Airoldi joins the Fox School from Harvard University, where he had served since 2009 as a full-time faculty member in the Department of Statistics. He founded and directed the Harvard Laboratory for Applied Statistics & Data Science, until 2017. Additionally, he held visiting positions at MIT and Yale University, and served as a research associate at Princeton University.
A distinguished researcher, Airoldi has authored more than 140 publications and earned more than 12,000 citations. His work focuses on statistical theory and methods for designing and analyzing experiments on large networks and, more generally, modeling and inferential issues that arise in analyses that leverage network data.
His work has appeared in journals across statistics, computer science, and general science, including Annals of Statistics, Journal of the American Statistical Association, Journal of Machine Learning Research, Proceedings of the National Academy of Sciences, and Nature. He has received a Sloan Fellowship, the Shutzer Fellowship from the Radcliffe Institute of Advanced Studies, an NSF CAREER Award, and an ONR Young Investigator Program Award, among others. He has delivered a plenary talk at the National Academy of Sciences Sackler Colloquium on “Causal Inference and Big Data,” in 2015, and he has given an IMS Medallion Lecture at the Joint Statistical Meetings, in 2017.
Airoldi earned his PhD in Computer Science from Carnegie Mellon University, where he also received his Master of Science degrees in Statistics and Statistical and Computational Learning. He earned a Bachelor of Science in Mathematical Statistics and Economics from Italy’s Bocconi University.