Research

My research combines machine learning with traditional literary scholarship, and has focused on metric learning, the adaptation of large language models to historical domains, 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.

Some recently published papers are listed below: