Wenhao Ding is a member of the Autonomous Systems and Physical AI Research (ASPIRE) Group. He is pursuing a Ph.D. at Carnegie Mellon University. He received a master’s degree from Carnegie Mellon University and a B.S. from Tsinghua University.

His research interests lie in safety-critical scenario generation, causal reinforcement learning, and their applications within the fields of robotics and autonomous driving. Specifically, he proposes algorithms designed to improve robustness by training agents against semantic adversarial examples, and to enhance generalization to novel tasks by discovering the underlying causality of the physical world.

For more information, please check out his personal website.