Han Shao

Han is a postdoc at Harvard during the academic year 2024–2025, working with Cynthia Dwork and Ariel Procaccia. She will join UMD CS as an Assistant Professor in Fall 2025. She completed her PhD at TTIC, where she was advised by Avrim Blum. Her research interests span machine learning theory, economics and computation, and algorithmic game theory. During her PhD, she focused on fundamental questions arising from human social and adversarial behaviors in the learning process, examining how these behaviors impact machine learning systems and developing methods to enhance accuracy and robustness. She also explored the theory of adversarial robustness based on empirical observations.