I’m a Visiting Scientist at the Schmidt Sciences AI and Advanced Computing Institute and an Assistant Research Professor at Johns Hopkins University in Data Science and AI Institute, Humanities Institute and Center for Language and Speech Processing. My research focuses on exploring innovative ways of applying machine learning methods to social, cultural and literary phenomena. You can find my recent papers here. I did my PhD at Johns Hopkins University, and before coming to Hopkins, I completed an MA in Social Sciences at the University of Chicago.
In this talk, I present case studies on rhetorical parallelisms (intertextual references, chiasms, type-scenes) and chapter boundary detection in the context of narrative reasoning and recall using machine learning approaches.