Principal Scientist

Andee Rubin

Program/Areas of Interest

  • Data science education, data literacy and statistical reasoning
  • Math in informal institutions, including zoos, science centers, and aquariums
  • Disciplinary aspects of making
  • Use of video as a source of mathematical data
  • Embodied mathematics
  • Learning from simulations


Andee Rubin is a mathematician and computer scientist who has been combining expertise in technology design, math education, and artificial intelligence to improve math and science education both in and out of school for over 40 years.

She has led projects to build and study software for elementary math education (, support high school teachers in having students construct infographics (, use log data to support learning in museums (, consider how mathematics is used in making ( and study how students and teachers use software tools to visualize data.

She was a graduate student in the MIT Artificial Intelligence Laboratory and worked at Bolt Beranek and Newman before coming to TERC in 1990. She is an avid choral singer and has been a member of Coro Allegro for over 25 years.


  • B.A., Mathematics, Brandeis University, summa cum laude, 1971
  • S.M., and E.E. Computer Science and Artificial Intelligence, MIT


  • National Council of Teachers of Mathematics
  • International Association of Statistics Education
  • International Society for the Learning Sciences
  • Association of Science and Technology Centers.


National Academies of Sciences, Engineering, and Medicine

Honors & Awards

  • Program Committee, and Invited Speaker, Youth, Learning and Data Science workshop, Berkeley, 2016.
  • Keynote Speaker, Big Data Hubs Literacy Workshop, New York Hall of Science, April, 2017.
  • Invited speaker, presidential session, CSCL conference, 2019

Highlighted Publications

Makar, K., & Rubin, A. (2018). Learning About Statistical Inference In Ben-Zvi, D., Makar, K. & Garfield, J. (Eds.). International Handbook of Research in Statistics Education. Springer International Handbooks of Education, Springer, Cham.

Rubin, A. & Mokros, J. (2018). Data clubs for middle school youth: Engaging young people in data science. Proceedings of the 10th International Conference on Teaching Statistics, Kyoto, Japan.

Pattison, S. A., Rubin, A., Benne, M., Gontan, I., Shagott, T., Francisco, M., Ramos-Montañez, S., Bromley, C., & Dierking, L. D. (2018). The impact of facilitation by museum educators on family learning at interactive math exhibits: A quasi- experimental study. Visitor Studies, 21(1), 4–30.