Joseph Dexter

Academic Appointments

Neukom Fellow

I came to Dartmouth in 2018 as a Neukom Fellow. A computational biologist by training, I have broad interests across data science, and I am particularly enthusiastic about research that brings together traditionally quantitative and qualitative disciplines. To that end, most of my research and teaching is concentrated in two interdisciplinary areas: the Digital Humanities, including computational text analysis for Latin, ancient Greek, and other premodern traditions and the cultural evolution of literature, and systems biology and mathematical modeling for biomedicine. I am the co-founder and co-director of the Quantitative Criticism Lab. 


HB 6051


Comparative Literature


  • Ph.D., Harvard University
  • A.B., Princeton University

Selected Publications

  • V. Mishra and J.P. Dexter, "Comparison of Readability of Official Public Health Information About COVID-19 on Websites of International Agencies and the Governments of 15 Countries," JAMA Network Open (2020) e2018033 

  • J.P. Dexter, S. Prabakaran, and J. Gunawardena, A Complex Hierarchy of Avoidance Behaviors in a Single-Cell Eukaryote, Current Biology 29 (2019) 4323-4329

  • P. Chaudhuri, T. Dasgupta, J.P. Dexter, and K. Iyer, “A small set of stylometric features differentiates Latin prose and verse,” Digital Scholarship in the Humanities 34 (2019) 716-729

  • T.J. Bolt., J.H. Flynt, P. Chaudhuri, and J.P. Dexter, A Stylometry Toolkit for Latin Literature, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (2019) 205-210

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