معرفی
Laure Thompson is an Adjunct Assistant Professor at the University of Massachusetts Amherst's College of Computer and Information Sciences and a Research Software Engineer at Princeton University's Center for Digital Humanities. Her work bridges machine learning, natural language processing, and cultural heritage analysis. She holds a PhD in Computer Science from Cornell University and dual BS degrees in Computer Science and Electrical Engineering from the University of Washington.
Research focuses on computational methods for humanities scholarship, including tools for large-scale analysis of texts and images. Notable projects include evaluating morphological tagging in historical texts and developing methods to control what machine learning models learn. She has contributed to ACL, NAACL, and EMNLP conferences with impactful work recognized through awards like the Best NLP Engineering Experiment (COLING 2018).
Teaching experience includes courses on social and cultural analytics at UMass Amherst and NLP applications. Her work spans diverse cultural datasets from medieval manuscripts to avant-garde journals, emphasizing ethical computational practices in humanities research.
