
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.
Prospective students: I am actively seeking talented and motivated students to join my research group. If you are interested in working with me, please email your background, resume, and what you want to work on. I’ll be teaching a seminar course in machine learning theory (CMSC848P) in Fall 2025. If you're a UMD graduate student interested in working with me, I encourage you to take the class.
Email: hanshao@umd.edu
Teaching
- CMSC848P (Fall 25) Selected Topics in Machine Learning Theory
Recent news
- 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.
Contact
Email: hanshao@umd.edu
Office: IRB 5132