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.
- Ph.D., Harvard University
- A.B., Princeton University
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 3 (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