Dr. Demszky is an Assistant Professor in Education Data Science at the Graduate School of Education at Stanford University. She works on developing natural language processing methods to support equitable and student-centered instruction. She has developed tools to give feedback to teachers on dialogic instructional practices, to analyze representation in textbooks, measure the presence of dialect features in text, among others. Dr Demszky has received her PhD in Linguistics at Stanford University, supervised by Dr Dan Jurafsky. Prior to her PhD, Dr. Demszky received a BA summa cum laude from Princeton University in Linguistics with a minor in Computer Science.

Academic Appointments

Honors & Awards

  • Rising Star in AI for Social Good, Harvard CRCS (2021)

Professional Education

  • Ph.D., Stanford University, Linguistics (2023)
  • B.A., Princeton University, Linguistics (2017)

Research Interests

  • Curriculum and Instruction
  • Data Sciences
  • Social and Emotional Learning
  • Teachers and Teaching
  • Technology and Education

2022-23 Courses

Stanford Advisees

All Publications

  • Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) Demszky, D., Liu, J., Mancenido, Z., Cohen, J., Hill, H., Jurafsky, D., Hashimoto, T. 2021
  • Learning to Recognize Dialect Features Proceedings of the 19th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Demszky, D., Sharma, D., Clark, J. H., Prabhakaran, V., Eisenstein, J. 2021
  • The Role of Verb Semantics in Hungarian Verb-Object Order Proceedings of the Linguistic Society of America (LSA) Demszky, D. 2021