Edoardo M. Airoldi
Edoardo M. Airoldi is an Associate Professor of Statistics at Harvard University, and a Principal Investigator at the Broad Institute of MIT & Harvard. Before joining Harvard, he was a postdoctoral fellow at Princeton University in the Department of Computer Science and the Lewis-Sigler Institute for Integrative Genomics. He received his B.Sc. in Mathematical Statistics from Bocconi University and his Ph.D. in Computer Science from Carnegie Mellon University. His research focuses on modeling, inferential, and other methodological issues that often arise in applied problems where network data (i.e., measurements on pairs of units, or tuples more generally) need to be considered, and standard statistical theory and methods are inadequate. More broadly, statistical methodology and theory with application to molecular biology and computational social science. He is the recipient of an ONR Young Investigator Award, an NSF CAREER Award, an Alfred P. Sloan Research Fellowship, a Big Think Delphi Fellowship, and has received several outstanding paper awards, including the Thomas R. Ten Have Award for his research on causal inference, and the John Van Ryzin Award for his research in proteomics. Airoldi's research is supported by the National Science Foundation, the National Institutes of Health, the Center for Disease Control and Prevention, the Office of Naval Research, the Army Research Office, AT&T, Google and Facebook.