Senior Research Associate
Lily Fesler is a Senior Research Associate at the AI Hub for Education within the SCALE Initiative. Her research uses natural language processing to analyze text data produced in educational settings, and causal inference techniques to understand how educational programs and policies affect student learning. She previously worked at Mathematica. She has a Ph.D. in Economics of Education and a MA in economics from Stanford University and a BA in Economics from Wesleyan University.
Research Interests
education policy, AI, GenAI, natural language processing, causal inference, high-impact tutoring, randomized controlled trials, quasi-experimental designs
