Dorottya Demszky is an Assistant Professor in Education Data Science at the Stanford Graduate School of Education and in Computer Science (by courtesy). She builds and deploys natural language processing methods to support equitable and student-centered education. Her research combines machine learning, natural language processing, linguistics and input from practitioners, in order to develop interpretable and scalable education measures. By deploying these measures, she aims to improve educational interventions, teachers' professional development and the equity of curricular materials. She received her PhD in Linguistics at Stanford University, advised by Dan Jurafsky, and her BA in Linguistics with a minor in Computer Science summa cum laude at Princeton University.