Dr. Demszky is an Assistant Professor in Education Data Science at the Graduate School of Education at Stanford University. She builds and deploys natural language processing methods to support equitable and student-centered education. Dr. Demszky’s 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. In terms of teaching, Dr. Demszky focuses on making STEM and data science accessible to all, thereby helping students solve key issues in education and beyond. One barrier to entry to education data science is the perceived difficulty and abstractness of quantitative methods, which she seeks to eliminate by capitalizing on students’ interests and expertise and Teaching through examples and hands-on, collaborative projects.