I study Information Science at Cornell University, where I’m advised by Matthew Wilkens and David Mimno. I use computational methods (usually natural language processing and supervised machine learning) to study social problems embedded in language–including rhetorical strategies used by Supreme Court Justices, adaptation reception reviews, and narratives from an endometriosis support community. I also develop and maintain code at Authors AI, where I use NLP to help authors analyze their manuscripts from a new scale with Marlowe and readers discover books at BingeBooks.
I co-authored, with Matthew Jockers, the recently published second edition of Text Analysis With R.
- I received the Siegel Public Interest Tech Impact Fellowship and will spend the summer working with the New York Botanical Gardens to automatically identify and disambiguate scientific names.
- I presented “True to the Spirit: Fidelity, Adaptation, and Value in Amateur Book Reviews” at DH Unbound 2022. My slides are available here.
Prior to returning to my graduate studies, I was an Instructor at Washington State University in the Department of English, the Digital Technology and Culture program, and the Women’s, Gender, and Sexuality Studies program. I received my Master’s degree in Literature at WSU with an MA thesis that investigated the strategic and rhetorical tactics of Supreme Court Justices. Before that, I completed my undergraduate degree at the University of Nebraska in English and Film Studies. At Nebraska, I got involved with the digital humanities through the Nebraska Literary Lab and the early days of the George Eliot Archive.
If you’re looking for advice on applying to grad school or wanting to get into the digital humanities or computational social sciences, I’m happy to chat and share any advice/experiences I might have. Send me an email at ret85[at]cornell.edu!