Jameson Carter is a senior data scientist in the Health Policy Division at the Urban Institute, where he develops and applies Urban’s Health Insurance Policy Simulation Model. Before joining Urban, Carter produced microsimulation analyses of antipoverty programs at the Congressional Research Service using Urban’s Transfer Income Model. His work at the Congressional Research Service included comprehensive estimations of federal transfers’ impacts on poverty, evaluations of stimulus checks, and research informing the temporary expansion of the child tax credit. Additionally, in 2022, he helped the Internal Revenue Service’s Office of Research, Applied Analytics, and Statistics research best practices for trustworthy artificial intelligence.

Carter received a BA in economics from Carleton College and an MS in public policy, management, and data analysis from Carnegie Mellon University’s Heinz College, with coursework in causal inference, machine learning, and database management.