Joshua Snoke
Main Campus Research - Senior Fellow
Joshua Snoke is a Senior Fellow in the Massive Data Institute. He researches statistical data privacy methods and applies these tools to enable policy solutions that increase data access while preserving privacy.
He has published technical papers and policy reports on the creation and evaluation of privacy-preserving techniques such as synthetic data, secure model estimation across multiple databases, and differentially private algorithms. His work, both privacy-related and otherwise, involves working with a variety of administrative and survey data, such as data from the U.S. Census Bureau, the Internal Revenue Service, the UK Administrative Data Research Network, the Defense Manpower Data Center, the American Educator Panels, the global Health and Retirement Studies, and the National Science Foundation.
Prior to joining MDI, he was a statistician at RAND where he researched statistical data privacy, algorithmic-aided human decision-making, and workforce development.
He received his Ph.D. in statistics with a graduate minor in social data analytics from the Pennsylvania State University. He received his B.S. in mathematics and economics from Wheaton College.