Ana Trindade Ribeiro is a Research Project Lead at the National Student Support Accelerator. Her research interests sit at the intersection of education policy and behavioral sciences, using a mix of machine learning, causal inference, and field and laboratory experiments to investigate causes and solutions to inequality in students’ outcomes. Her recent work has focused on the design of student evaluations and policies to reduce unequal behavior and outcomes in education.
Ana holds a PhD in Economics of Education from Stanford University, a Master’s in Economics from the University of Sao Paulo, and a BA in Economics from PUC-Rio in Brazil.
