Project Demetrios is a collaborative research initiative at the intersection of classical philology and digital humanities, committed to open-access scholarship in the analysis of Ancient Greek verse.
The project takes its name from Demetrios, the probable author of Περὶ Ἑρμηνείας (On Style), the systematic treatise on Greek prose style and rhetorical figures.
We chose his name as our patron because his intellectual project, to collect, preserve, and systematically analyse the texts of Greek literature, mirrors our own in a digital register. Where he assembled papyrus scrolls, we assemble algorithms; where he catalogued authorship, we map phonological and rhetorical patterns.
Our tools are designed to assist scholars in the close reading of Greek poetry. We do not replace the philologist's judgement but rather attempt to augment it, making visible patterns that lie beneath the threshold of unaided attention over long stretches of text.
Our team will present recent work by Project Demetrios, focusing on our Poetic Object Extraction Tools (POETs) during the upcoming Celtic Conference in Classics in Maynooth, Ireland, on July 17.
We are delighted to announce the launch of our Hiatus Detection and Analysis tool, which will enable scholars to quickly process, identify, and categorize three different types of vowel hiatus in any number of Greek verse lines.
The Poetic Object Extraction Tool (POET)" by Project Demetrios, funded by the Neukom Institute for Computational Scientist CompX Faculty Grant, 2026-7. Award Amount: $29,800. Primary Investigator: Dr. Rachel E. Dubit (Lecturer, Dartmouth College). Project Team: Dr. Maria Gaki (Lecturer, Dartmouth College), Atanas Iliev (Dartmouth ’26), Luke LoTempio (Dartmouth ’26), Felipe Leao (Dartmouth ’26); with support from the Software Engineering Team at Dartmouth Research Computing.
Project Demetrios is a small, collaborative team of classicists and digital humanists working across Dartmouth and beyond.
Rachel is a lecturer in Classics at Dartmouth College. Her research interests include Hellenistic Greek and Augustan Latin poetry & poetics, as well as computational approaches to the study of Classical poetry.
Maria is a lecturer at Dartmouth College. Her research interests focus on the study of sound aesthetics and sense perception in ancient literary criticism, philosophy, and Hellenistic poetry.
Atanas, originally from Plovdiv, Bulgaria, graduated from Dartmouth in 2026 with a degree in Classics and Mathematics. Beyond Project Demetrios, he has translated and produced Euripides’ Medea and written a thesis on Aristotle’s Physics. His interests include Attic tragedy, textual criticism, and the application of quantitative methods to these fields, which he plans to pursue during his master’s at University College, Oxford.
Felipe, born in Brazil and raised in Connecticut, first began studying Greek in high school. He continued studying Greek at Dartmouth College, alongside economics concentrated in finance. He is interested in the intersection between the two disciplines, specifically the application of econometric and statistical techniques to datasets created from Classical works.
Luke is an incoming graduate student at Dartmouth’s Comparative Literature program. He graduated from Dartmouth in 2026 with a degree in English and a minor in Classical Languages and Literature. His research interests include Classical reception in 19th Century art, as well as linguistic approaches to studying poetry.
Amanda is a Research Software Engineer within the Research Computing & Data division of Dartmouth IT, where she has spent the past 14 years supporting the College's research community. She holds a degree in Computer Science and specializes in data engineering, full-stack development, and infrastructure, as well as advising research teams on their technical needs. On Project Demetrios, she works with the team on infrastructure, application hosting, and domain configuration, and is now helping guide the project toward machine learning and neural networks. Her broader interests include building AI applications for researchers and faculty.