My PhD work demonstrates that Homeric verse contains systematic, structural regularities at a much more fine-grained level than was previously suspected. Using digital text and analysis, I reveal new patterns in the localization of phonetic and metrical elements. These regularities confirm and extend cognitive models of oral-formulaic composition, and offer opportunities for new critical perspectives on Homer.
I’m working with Walter J. Scheirer of the University of Notre Dame on a book, to be released by Springer, titled Quantitative Intertextuality. This work sets research we and others have done on the subject of intertextuality within the larger context of pattern recognition, and demonstrates core methods for contemporary Digital Humanities approaches to literature and new media.
Intertextuality and Genre in Flavian Epic
Together with Damien Nelis and Lavinia Galli Milić of the University of Geneva, and Neil Coffee of the University at Buffalo, I’ve spent the past two years working on computational methods for identifying typical scenes and other generic markers in first-century CE Latin poetry, and for using these narrative features to detect literary allusion. We presented preliminary work at the Digital Classicist Berlin Seminar Series and at Digital Humanities 2016 in Krakow.
In conjunction with this project, we also taught a hands-on seminar on digital stylometry at the University of Geneva.