Edoardo M. Airoldi is an associate professor of statistics at Harvard University and an associate faculty member at the Harvard Institute for Quantitative Social Science, the Harvard FAS Center for Systems Biology, and the Broad Institute of Harvard and the Massachusetts Institute of Technology. His research interests include design and analysis of experiments in complex systems, sampling mechanisms for hard-to-reach populations, modeling and inference in high-throughput biology, machine learning methodology, and statistics and data science more broadly.
At the Radcliffe Institute, Airoldi is combining his interests in statistics and its applications to the computing and information sciences and to the life sciences, in order to identify fundamental principles and ideas of data science that can be useful to scholars in the social sciences and humanities more broadly.
Airoldi is the recipient of an Office of Naval Research Young Investigator Program award, the National Science Foundation’s Faculty Early Career Development (CAREER) award, and a Sloan Research Fellowship, among other honors. He has also received several outstanding paper awards—including the W. J. Youden Award in Interlaboratory Testing and the John Van Ryzin Award for his research in statistics and biology and the Thomas R. Ten Have Award for his research in causal inference, is a winner of the LinkedIn Economic Graph Challenge for his work in computational social science and economics, and was recently a speaker at “Drawing Causal Inference from Big Data,” a Sackler Colloquium at the National Academy of Sciences. Airoldi earned his PhD from Carnegie Mellon University.