
Ana Trindade Ribeiro is a Senior Research Associate at SCALE Initiative at Stanford University, affiliated with the GenAI in Education Hub and the National Student Support Accelerator. Her research applies Natural Language Processing and Causal Inference methods to investigate effective practices in personalized instruction and develop tools to increase student engagement and learning. Ana is passionate about research that can support evidence-based decisions for policy and institutions. She holds a PhD in Economics and Education from Stanford University, an MA in Economics from the University of Sao Paulo, and a BS in Economics from PUC-Rio.
Education Policy, GenAI, Natural Language Processing, Causal Inference, Behavioral Economics