Research:
Leading the CMU Safe AI Laboratory, Zhao aims to create trustworthy AI that is robust, safe, generalizable as well as explainable, verifiable, and human-centric. His long-term goal is to develop fundamental theories and practical technologies to safely deploy AI to address some of the world’s most pressing problems.
Zhao is recognized nationally and internationally for his research on trustworthy AI, with applications in intelligent autonomy and healthcare. He is the recipient of the National Science Foundation CAREER Award, George Tallman Ladd Research Award, MIT Technology Review 35 under 35 China Award, Ford University Collaboration Award, Carnegie-Bosch Research Award, Struminger Teaching Award, and industrial fellowship awards from Adobe, Bosch, and Toyota. He worked with leading industrial partners, including Google Brain, Amazon, Ford, Uber, IBM, Adobe, Bosch, Toyota, and Rolls-Royce.
CMU Safe AI Lab Website: https://safeai-lab.github.io