Research

My research combines machine learning with traditional literary scholarship, and has focused on humanities-centered language modeling, efficient pretraining, and analyzing orthographic variation in literary works. I am broadly interested in the set of topics that emerge at the nexus of literary scholarship, linguistics, and computational language modeling, particularly literary theory, semantics, pragmatics, and artificial neural networks.

Recent papers are listed below. A full list is on the CV.