Han Shao
Hi! I am an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park. Previously, I was a CMSA postdoc at Harvard, working with Cynthia Dwork and Ariel Procaccia. I did my PhD at TTIC, advised by Avrim Blum.
My research interests span machine learning theory, economics and computation, and algorithmic game theory. During my PhD, I 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.
Email: hanshao@umd.edu
Recent news
- Mar 17-Apr 18, 2026: I'm visiting Simons Institute for Federated and Collaborative Learning program as a long-term participant. Come say hi if you are around!
- Jan 29, 2026: Praneeth and I are giving a tutorial on Incentives for collaborative learning and data sharing at Simons Institute as part of Federated and Collaborative Learning program. Videos are available here.
- Dec 3-6, 2025: I'll be attending NeurIPS in SD!
- Nov 12, 2025: I'll be giving a talk at JHU CS theory seminar.
- Oct 17, 2025: I'll be giving a talk at the UMD CS department seminar on Probably Approximately Precision and Recall Learning.
- Summer 2025: I'm co-organizing the workshops on Reliable and Responsible Foundation Models (ICML) and Incentives for Collaborative Learning and Data Sharing (TTIC, August 13–15). Please come by!
- July 2025: I've moved to College Park! Come say hi if you're in the DC area.
Teaching
- CMSC848P (Fall 26) Machine Learning Theory
- CMSC498W (Spring 26) Economics and Computation
- CMSC848P (Fall 25) Machine Learning Theory
Students
- Shashaank Aiyer (2025-)
- Yancheng Zhu (2025-)
Contact
Email: hanshao@umd.edu
Office: IRB 5132