Laure Thompson

Laure Thompson's research bridges machine learning and natural language processing with humanistic scholarship. She builds tools and creates methodologies that enable scholars to use machine learning and statistical methods for studying humanities collections at scale. Her research focuses on understanding what computational models actually learn and how we can intentionally change what they learn. Since her work is centered on humanities applications, she works with a wide range of cultural heritage corpora: from texts of science fiction novels and medieval manuscripts to images of avant-garde journals and magical gems from the ancient Mediterranean.