Ben is a principal statistician in the Statistics & Data Science department for NORC at the University of Chicago. He has over 15 years of statistical consulting experience in the areas of sample design, model-assisted estimation, survival analysis, adaptive survey design, variance estimation, analysis of complex survey data, experimental design, missing data, paradata, quality metrics, data governance, and disclosure avoidance.

Ben oversees statistical operations for two large scale federal surveys - the High School and Beyond Follow-up Survey (HS&B) and the Survey of Doctoral Recipients (SDR). His work on these surveys includes implementation of adaptive survey design techniques, sampling, weighting, and variance estimation. In addition, he is developing a disclosure avoidance strategy for the Administrator-Researcher Campus Climate Collaborative (ARC3) Survey. He also served as the lead statistician and implemented multiple imputation for the Improving HIV Health Outcomes for Black-Men-Who-Have-Sex-with-Men project. Ben is a member of the NORC Data Governance Board and co-chair of the NORC Disclosure Review Board.  

Prior to joining NORC, Ben spent over 15 years in Federal Service. While in Federal Service, he worked at NASA, the National Agricultural Statistics Service (NASS), and the U.S. Census Bureau. He was the Deputy Chief Data Officer for NASA and the Deputy Director for Science and Planning at NASS.  At the Census Bureau, he held numerous positions, including Survey Director and Lead Scientist for the National Survey of College Graduates (NSCG) and Assistant Center Chief in the Center for Adaptive Design.