Published multiple papers, such as 'so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs' (EMNLP 2025), 'Research Borderlands: Analysing Writing Across Research Cultures' (ACL 2025), and more.
Research Experience
Previously, she was a Young Investigator at the Allen Institute for AI and a postdoc at the Pioneer Centre for AI at the University of Copenhagen. She has also worked at ETH Zurich, Microsoft Research FATE, Twitter, and Facebook.
Education
PhD in Information Science from Cornell University, advised by David Mimno; Master's degree in Computational Linguistics from the University of Washington.
Background
Her research focuses on natural language processing and cultural analytics. She develops and critically evaluates computational methods to analyze how language reflects culture and society, and frequently collaborates with interdisciplinary teams in healthcare, the humanities, and the social sciences.
Miscellany
She is one of the lead organizers for AI for Humanists, a series of tutorials and workshops that guide interdisciplinary researchers in using large language models. She is also the lead builder and maintainer of some cultural analytics tools, including Little Mallet Wrapper and Riveter.