Surbhi Goel is the Magerman Term Assistant Professor of Computer and Information Science at University of Pennsylvania. Her research interests lie at the intersection of theoretical computer science and machine learning, with a focus on developing theoretical foundations for modern machine learning paradigms. Previously, she was a postdoctoral researcher at Microsoft Research NYC in the Machine Learning group. She received her Ph.D. in Computer Science from the University of Texas at Austin, where she was advised by Adam Klivans. Among her honors are the Bert Kay Dissertation award, a JP Morgan AI Fellowship, and a Simons-Berkeley Research Fellowship. She is also the co-founder of Learning Theory Alliance (LeT-All), a community building and mentorship initiative for the learning theory community.