Chen is a statistical programmer with experience conducting research using experimental and quasi-experimental designs, predictive modeling, social network analysis, and data visualization. Since joining MDRC in 2013, she has contributed to projects in the education field as both a quantitative and a qualitative researcher, including the evaluation of the Success for All Middle School Math Program, which focuses on the role of cooperative learning on math outcomes, and Innovative Professional Development, a study of teacher professional development using an interrupted time series design. She is also studying how community organizations can mobilize to improve their local conditions and how nonprofits can better target their services to improve the outcomes of the populations they serve. Before coming to MDRC, Chen served as a research analyst for an education nonprofit, seeking to better understand how teachers can use data to improve student outcomes. Chen earned a BA in economics from Northeastern University.