Yaodong Yu

Yaodong Yu is an assistant professor of computer science with an affiliate appointment in the University of Maryland Institute for Advanced Computer Studies.

His research focuses on the theoretical foundations of trustworthy machine learning. Yu's work emphasizes interpretable deep neural networks, robust and privacy-preserving foundation models, and principled approaches to understanding and mitigating failure modes in machine learning systems. His interests include out-of-distribution generalization, optimization for robustness, and uncertainty quantification.