My research has involved examining rhetorical configurations of the human face in vernacular video texts that populate networks such as YouTube. I have focused on explaining how the assumptions about what constitutes a typical human face inflects discourses of celebrity, race, and international human rights campaigns.
As a post-doctoral research for MSU’s WIDE-MATRIX, I investigated how computational methodologies from linguistics, graph theory, and statistical natural language processing can inform the theories and methods of a computational rhetoric.
In my current capacity as an Assistant Professor of Writing and Rhetoric at the University of Rhode Island, I am involved in long term research study of how computational approaches can be used to improve student peer review. Additionally, I build web apps that use machine learning to conduct automatic rhetorical analysis. One such web app project is the Faciloscope.
The Faciloscope grew out of a IMLS grant-funded study of informal learning practices supervised by an assortment of museums, including the Science Museum and Minnesota.