Sarah Wiegreffe is a postdoctoral researcher at the Allen Institute for AI (Ai2) and the Allen School of Computer Science and Engineering at the University of Washington. She has worked on the explainability and interpretability of neural networks for NLP since 2017, with a focus on understanding how language models make predictions in order to make them more transparent to human users. She has been honored as a 3-time Rising Star in EECS, Machine Learning, and Generative AI. She received her PhD in computer science from Georgia Tech in 2022, during which time she interned at Google and Ai2 and won the Ai2 outstanding intern award. She frequently serves on conference program committees, receiving outstanding area chair awards at ACL 2023 and EMNLP 2024. Her website is https://sarahwie.github.io/.