My research examines emergent technologies within their historical, theoretical, or institutional contexts. I try to consider the consequences of technological innovation on competing ideas about the future, and I assess their impact on subjects such as cultural identities, political economy, and political/institutional formations.

My dissertation project attempts to provide readers with a literary and cultural history of machine learning in the U.S. mid-century. To do so, I describe connections between humanities texts and the evolution of computer science in the education and life’s work of Herbert A. Simon, who was a pioneer in the field of AI at CMU.

I am scheduled to defend the dissertation in 2021 with Jeffrey J. Williams (chair), Simon DeDeo, Jon Klancher, and Annette Vee (University of Pittsburgh).

This and other research has been generously supported by the Andrew W. Mellon Foundation, the University of Victoria’s Electronic Textual Cultures Lab, and The Charles Babbage Institute at the University of Minnesota.

In 2017, I was an A.W. Mellon Fellow in the Digital Humanities and I was the 2018 Departmental Fellow in Humanities Analytics (HumAn) in English at CMU. Additionally, I was the HASTAC Scholar for Carnegie Mellon Libraries’ dSHARP from 2017-2019. My co-curated rare materials exhibit, The Frankenstein Complex, was on display at CMU’s Posner Center through 2018 as a celebration of the 200th anniversary of Mary Shelley’s novel.

Currently, I am a Print and Probability Fellow for CMU’s Christopher Warren, funded by the National Science Foundation (NSF). In this capacity, I help to develop statistical approaches for the analysis of clandestine publications with machine learning and computer vision techniques.

In addition to my research and digital efforts, I have also taught or TA’d courses in rhetorical corpus analysis, science fiction classics, classical reception in English literature, and first-year writing (FYW).