Cullinan directs MDRC’s work randomly assigning community-college students to alternative placement systems using multiple measures. These new placement algorithms are being developed by the Community College Research Center in partnership with MDRC to test whether more students can be placed into appropriate-level courses. He is the data manager for Aid Like a Paycheck, a program that aims to help students manage their limited financial aid throughout the term by disbursing their aid refunds every other week — like a paycheck — rather than in one or two lump sums. He is a data manager and an impact analyst on the Behavioral Interventions to Advance Self-Sufficiency project, which turns a behavioral research lens on programs that serve poor families in the United States, such as cash assistance, child care, child support, and child welfare. He is overseeing MDRC’s data management and acquisition for the Spencer-Institute of Education Sciences Methods Grants, exploring variation in program impacts across sites. Prior to joining MDRC Cullinan worked at the Center for Research on Children in the U.S. at the Georgetown Public Policy Institute. He has a master’s degree in economics from Virginia Commonwealth University.