Summary
Qingyu Zhao is an assistant professor and computational scientist with 11 years of experience applying image analysis, machine learning, and statistics to improve disease detection, diagnosis, and treatment. Based in the San Francisco Bay Area, he transitioned from postdoctoral and research scientist roles at Stanford to a faculty position at Weill Cornell Medicine while maintaining research consulting at SRI International. His work blends medical image analysis, shape analysis, and neuroscience with practical software contributions—such as integrating deformable surface registration into ITK—bringing research code toward real-world clinical tools. An instructor at Stanford and PhD graduate from UNC Chapel Hill, he combines rigorous academic training with hands-on engineering across GPU visualization, video encoding, and statistical modeling.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Shanghai Jiao Tong University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of North Carolina at Chapel Hill