Han Shao

Han Shao is an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park. Previously, she was a CMSA postdoc at Harvard University working with Cynthia Dwork and Ariel Procaccia, and completed her PhD at TTIC under Avrim Blum in 2024.

Her educational background includes:

• Ph.D. in Computer Science, TTIC, 2024

Her research spans machine learning theory, economics and computation, and algorithmic game theory. During her PhD, she examined how human social and adversarial behaviors impact machine learning systems, developing methods to enhance accuracy and robustness through empirical observations of adversarial robustness.

The publications listed in her Google Scholar profile (2012-2025) primarily cover chemistry and materials science, focusing on oral care compositions, oxidative stability, and nanoparticle self-assembly for dental applications and cancer therapy. This output appears inconsistent with her stated computer science research interests, suggesting possible attribution errors.

No scientific awards were mentioned in the provided text.

Dr. Shao actively seeks PhD and Master's students for her research group and will teach a machine learning theory seminar (CMSC848P) in Fall 2025. She is co-organizing 2025 workshops on Reliable and Responsible Foundation Models (ICML) and Incentives for Collaborative Learning and Data Sharing (TTIC), though no specific grants were referenced.