Carrie Diaz Eaton

Associate Professor of Digital and Computational Studies


Digital and Computational Studies

Pettengill Hall, Room G19


I use modeling, computation, and a complex adaptive systems approach to explore theoretical questions in biology.  While I started this work in computational neuroscience and then moved to evolutionary theory and plant-pollinator networks, I have more recently advised student internships and research projects in disease modeling, science communication, and undergraduate STEM education.

I currently hold multiple grants related to research in mathematical and computational biology education, specifically undergraduate interdisciplinary curriculum development and faculty support for interdisciplinary teaching practice.  In 2014, I co-founded QUBES and through which I engage in a number of projects and networks at the national level, often with professional societies, to promote and support quantitative biology education.  An important part of this work includes supporting a diverse set of faculty and students in higher education.

Selected publications

  • Diaz Eaton, C, Dahlquist, K, Highlander, H, LaMar, MD, Ledder, G., and Schugart, R. (In press 2018) A “Rule of Five” Framework for Models and Modeling to Unify Mathematicians and Biologists and Improve Student Learning. Special Issue on Interdisciplinary Conversations, Problems, Resources, and Issues in Mathematical Undergraduate Studies [PRIMUS]. DOI: 10.1080/10511970.2018.1489318
  • Diaz Eaton, C and Bailey, LM. 2018. Finding Luz: Illuminating our identities through duoethnography. Special Issue on Mathematics and Motherhood, Journal of Humanistic Mathematics. 8(2):60-89. DOI: 10.5642/jhummath.201802.08.
  • Diaz Eaton, C and Highlander, H. 2017. The Case for BioCalculus: Design, Retention, and Student Performance. CBE-Life Science Education. 16(2):ar25. Link
  • Diaz Eaton, C, Anderson, LJ, Allen, D, Bowser, G, Pauley, MA, Williams, KS, and Uno, GE. 2016. Summit of the Research Coordination Networks for Undergraduate Biology Education. CBE-Life Science Education. 15(4):mr1. Link
  • Donovan, S, Diaz Eaton, C, Gower, ST, Jenkins, K., LaMar, MD., Poli, DB., Sheehy, R., and Wojdak, JM.  2015. QUBES: A community focused on supporting teaching and learning in quantitative biology. Letters in Biomathematics. 2(1):46-55. Link


Current Courses

Short Term 2019

Past, Present, and the Possible Dystopian Future of Computing

Fall Semester 2019

DCS 108
Introduction to Computation for Science and Mathematics