Jeremy Seeman is a research associate in the Center on Labor, Human Services, and Population at the Urban Institute. His research focuses on technical and policy solutions for responsible data sharing, with an emphasis on deploying privacy-enhancing technologies to expand access to sensitive data.

Before joining Urban, Seeman was a Michigan Data Science Fellow at the University of Michigan and a faculty affiliate of the university’s Center for Ethics, Society, and Computing.

Seeman received his BS in physics and MS in statistics from the University of Chicago and his PhD in statistics from Penn State, where he was a US Census Bureau Dissertation Fellow.