Bio: Surbhi Goel is the Magerman Term Assistant Professor of Computer and Information Science at University of Pennsylvania. She is affiliated with the Theory group, the ASSET center on safe, explainable, and trustworthy AI systems, and the Warren Center for network and data sciences. She is the co-founder of Learning Theory Alliance (LeT-All), a community building and mentorship initiative and recently co-organized the Special Year of Large Language Models at the Simons Institute for the Theory of Computation. She is the recipient of the Schmidt Sciences AI2050 Early Career Fellowship, an Amazon Research Award, the Bert Kay Dissertation award from UT Austin, a JP Morgan AI Fellowship, a Simons-Berkeley Research Fellowship, and Rising Star recognition in both ML and EECS. Her research interests lie at the intersection of theoretical computer science and machine learning, with a focus on developing theoretical foundations for safe, reliable, and trustworthy AI.
