Zachary H. Seeskin is a senior statistician with NORC at the University of Chicago, where he works on sample design, estimation, and data analysis for government and public interest surveys.
Seeskin contributes to weighting, imputation, adaptive design, total survey error analysis, and small area estimation for such surveys as the National Immunization Survey, the Survey of Doctorate Recipients, and the Metropolitan Chicago Jewish Population Study. In addition, Seeskin and colleagues are developing tools to assist researchers with evaluating quality of state and local administrative data sources.
Seeskin’s research examines questions facing the Federal Statistical System. His expertise includes analyzing administrative data quality and combining data sources for evidence-building, topics on which he has published research in the Statistical Journal of the International Association of Official Statistics and the International Journal of Population Data Science. Further, Seeskin researched benefits from improving accuracy of the U.S. Census for congressional apportionment and allocations of federal funds. Seeskin earned his Ph.D. in Statistics from Northwestern University in 2016, where he served as a U.S. Census Bureau Dissertation Fellow.
Seeskin further serves as an adjunct faculty member with Northwestern University's School of Professional Studies, teaching in the Public Policy and Administration program. His other experiences include analyses for the Chicago Department of Transportation, consulting for medical research at Northwestern, and contributing to economic research as an associate economist at the Federal Reserve Bank of Chicago.