Sarah Wiegreffe is a natural language processing and machine learning 
researcher and an assistant professor in the Department of Computer Science 
at the University of Maryland. She works on the explainability and 
interpretability of deep learning systems for language, focusing on 
understanding how language models make predictions to make them more 
reliable, safe, and transparent to human users. She has been honored as 
a three-time Rising Star in EECS, Machine Learning, and Generative AI. 
She was previously a postdoc at the Allen Institute for AI and the 
University of Washington, and before that, she received her Ph.D. and M.S. 
degrees from Georgia Tech.