Summary
Chun Pong Lau is an Assistant Professor at the School of Data Science, City University of Hong Kong, bringing eight years of research and teaching experience across mathematics and computer science. He earned a PhD in Computer Science from Johns Hopkins University and has postdoctoral experience at JHU’s Mathematical Institute for Data Science, where he focused on robust and reliable computer vision methods. His work blends deep theoretical grounding in applied mathematics with practical algorithm development for atmospheric turbulence mitigation, adversarial robustness, severe-condition biometrics, and generative AI. Chun’s trajectory—from quasi-conformal geometry and computational differential geometry to modern deep learning—gives him a rare ability to connect elegant mathematics with real-world imaging problems. He often tackles problems at the intersection of theory and application, producing solutions that improve robustness under extreme conditions.
8 years of coding experience
4 years of employment as a software developer
Johns Hopkins University
Master of Science - MS, Applied Mathematics, Statistics and Scientific Computing, Master of Science - MS, Applied Mathematics, Statistics and Scientific Computing at University of Maryland
High School, High School at St Louis School
The Chinese University of Hong Kong (CUHK)
English, Chinese, Chinese, Japanese