Teddi Worledge – 2024 Wonderfest Science Envoy

Teddi Worledge is a second-year computer science PhD student at Stanford, advised by Carlos Guestrin. She is interested in developing methods and evaluation tools to enable safe machine learning model deployment in the face of distribution shifts, poor data quality, and fairness concerns. Her current work on large language models focuses on attributions for model outputs and evaluation in the fine-tuning setting. When she’s not doing research, she’s backpacking, at the ceramics studio, or working on her beach volleyball skills!