معرفی
Edoardo M. Airoldi is the Millard E. Gladfelter Professor of Statistics and Data Science and Professor of Finance (by courtesy) in the Fox School of Business and Management at Temple University, where he also serves as Director of the Data Science Center. Previously, he was on the faculty of the Department of Statistics at Harvard University (until 2018) and held visiting appointments at MIT, Yale, and Microsoft Research New England.
Education
- Ph.D. in Computer Science, Carnegie Mellon University
- M.S. in Statistics, Carnegie Mellon University
- M.S. in Statistical and Computational Learning, Carnegie Mellon University
- B.S. in Mathematical Statistics and Economics, Bocconi University, Italy
Research Interests
Professor Airoldi’s research lies at the intersection of statistical methodology, theory, and large-scale data applications. He is best known for developing rigorous statistical approaches to the design and analysis of experiments on networks, addressing both treatment effects and interference. His work also advances scalable approximate inference techniques suitable for massive datasets and tackles modeling challenges in high-throughput biology, including proteomics and gene regulation. These methodological contributions are regularly applied to problems in computer science, social science, and healthcare, often in collaboration with leading technology firms such as Google, Microsoft, Facebook, LinkedIn, and DE Shaw.
Across more than 170 peer-reviewed publications, Airoldi’s recent work (2020-2021) demonstrates strong methodological innovation in causal inference under network interference, stochastic optimization, ensemble learning for link prediction, and principled handling of nonignorable missing data. These articles appear in top venues spanning statistics, machine learning, and general science, underscoring the broad impact of his research.
Honors & Awards
- Outstanding Statistical Application Award, American Statistical Association
- Sloan Research Fellowship
- Shutlzman Fellowship, Radcliffe Institute for Advanced Study
- NSF CAREER Award
- ONR Young Investigator Program Award
- IMS Medallion Lecture, Joint Statistical Meetings 2017
- Fellow, Institute of Mathematical Statistics (2019)
- Fellow, American Statistical Association (2020)
Advising, Grants & Collaborations
While individual student names are not listed in the text, Professor Airoldi’s extensive publication record and leadership of the Harvard Laboratory for Applied Statistics & Data Science (prior to 2018) and now the Temple Data Science Center indicate robust PhD and post-doctoral advising activities. He has been PI or co-PI on major grants from NSF, ONR, and private foundations, and maintains active collaborations with industry partners that provide both funding and real-world data challenges.
Labs & Teams
At Temple, he directs the Data Science Center within the Fox School, fostering interdisciplinary research across business, engineering, health, and social sciences. Previously, he founded and directed the Harvard Laboratory for Applied Statistics & Data Science, which served as a hub for methodological development and applied projects in technology and finance.
