Ph.D. Candidate in Comparative Literature, Graduate Certificate in Data Science in the Humanities, HASTAC fellow
Sadahisa (also known as Sada) received his BA and MA in French Language and Literature from the University of Tokyo. He was also an exchange student at the University of Geneva, Switzerland, and interned at international organizations. As a HASTAC fellow at Washington University, Sada developed an autonomous system that uses large language models to transcribe 19th-century handwritten texts from the library archives. In 2023, he taught at Miami University, Ohio, as visiting faculty. For his current project, he focuses on the intersection between literature and information technology. He is interested in how to incorporate computational text analysis (natural language processing, machine learning, and AI) into research in comparative literature with a specific focus on modern Japanese, French, and English aesthetic literature.