Zachary Seeskin is a Senior Statistician at NORC with 13 years of experience applying survey methodology, imputation, adaptive design, and small-area estimation to government and public-interest studies. He leads practical efforts to integrate and evaluate administrative and non-survey data—helping produce timely weighted estimates for studies like the Survey of Doctorate Recipients and tools for state and local data quality assessment. His research spans federal statistical challenges, from measuring the benefits of improved Census accuracy for apportionment to advising HHS on Big Data uses for health policy. Trained as a Ph.D. statistician from Northwestern, he combines academic rigor with hands-on policy work, including crime-risk modeling for Chicago’s DOT and economic analysis at the Federal Reserve Bank of Chicago. An adjunct professor, he also translates complex methods into usable tools and teaching for practitioners and policymakers.
12 years of coding experience
9 years of employment as a software developer
MS, Statistics, MS, Statistics at Northwestern University
BA, Economics, Mathematics, BA, Economics, Mathematics at Brandeis University
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