Our Team
Co-Directors
Pramit Chaudhuri
Pramit Chaudhuri (Ph.D. Yale) is Associate Professor of Classics at the University of Texas at Austin and co-founder and co-director of the Quantitative Criticism Lab. He specializes in the Latin poetry of the early Roman empire, set within a broader study of classical and early modern epic and tragedy.
Joseph Dexter
Joseph Dexter (Ph.D. Harvard) is a Neukom Fellow at Dartmouth College and co-founder and co-director of the Quantitative Criticism Lab. A computational biologist by training, he has broad interests across data science and is particularly enthusiastic about research that brings together traditionally quantitative and qualitative disciplines.Principal Collaborators
Patrick Burns
Patrick J. Burns (Ph.D. Fordham) is the ACLS Postdoctoral Fellow for the Quantitative Criticism Lab.
Tathagata Dasgupta
Tathagata Dasgupta received his Ph.D. from the University of Cambridge as a member of Trinity College, where his research focused on string theory. More recently, his work at Harvard University involved various inter-disciplinary combinations of computational, mathematical projects in systems biology and the clinical and biomedical sciences. His interests lie in the interplay between modern machine learning theory and non-equilibrium statistical physics for building novel algorithms to describe various complex phenomena across disciplines.
Ayelet Haimson Lushkov
Ayelet Haimson Lushkov (Ph.D. Yale) is Associate Professor of Classics at the University of Texas at Austin.
M. Ski Krieger
M. Ski Krieger completed his undergraduate training in Physics and Classics at the University of Chicago, which is where he acquired a love of philology. After a brief stint in Crimea working for the Peace Corps he returned and did his doctoral work in theoretical soft-matter physics at Brown University.
Nilesh Tripuraneni
Nilesh Tripuraneni received his B.A. from Harvard, where he studied physics, and an M.Phil in Information Engineering from the University of Cambridge, where he focused on probabilistic machine learning.Research Associates
Alvin Deng
Alvin is a research engineer at Drawbridge. He graduated from the University of Texas at Austin in 2017 with a B.S. in Computer Science.
Jeffrey Flynt
Jeffrey Flynt has a strong background in UI/UX Design and programming in JavaScript, Python, MongoDB & MySQL.
Tim Gianitsos
Tim Gianitsos is a software development engineer at Amazon. He earned his B.S. in Computer Science from The University of Texas at Austin.
Sally Heiter
Sally Heiter (B.S., Rutgers) has a background in design (landscape architecture and graphic design), music (classical voice, choral conducting, composition), copyediting (scientific journals and textbooks), and marketing (copy, photography and graphics).
James Patterson
James F. Patterson (Ph.D. UTexas) is a Lecturer in Classics at the University of Texas at Austin.
Eric Rincon
Eric is a student at UT Austin studying computer science and math. He is interested on working on applying machine learning to cross disciplinary research, and on problems involving natural language and computer vision.
Ariane Schwartz
Ariane Schwartz (Ph.D. Harvard) is Assistant Editor, I Tatti Renaissance Library. She specializes in Latin literature set within a wider study of cultural and intellectual history, the classical tradition, and the history of reading and sociology of texts.Graduate Students
Undergraduate Students
Vera Poyraz
Vera is an undergraduate at Brown University studying cognitive neuroscience. She is working on a survey-based study of how people perceive literary genre.High School Students
Bihan Dasgupta
Bihan is a senior at Brookline High School. She is working with QCL on a quantitative, corpus-based study of race and racism in the reception of the classics.Advisory Board
Joe Farrell
Joseph Farrell is Professor of Classical Studies and Mark K. and Esther W. Watkins Professor in the Humanities at the University of Pennsylvania.
Stephen Hinds
Stephen Hinds is Professor of Classics at the University of Washington, Seattle.