Summary
Joe Xing is a Stanford- and CERN-trained physicist turned AI and data science advisor with 8 years of industrial experience applying deep learning to healthcare, autonomous systems, and subatomic physics. He co-founded and led AI teams and productization at startups and startups-turned-companies—delivering an FDA-cleared SaMD, patented generative and temporal models, and a 6x reduction in manufacturing costs through operational upgrades. Joe bridges rigorous experimental science and product engineering, turning multimodal clinical and video data (MRI, fNIRS, gait, retinal sequences) into actionable medical insights while advising clinicians on data-driven workflows. His academic work has earned over 15,000 citations, and he brings that research depth to practical AI, from imitation learning for AVs to neuro-inspired model design. Based in San Jose, he teaches AI at Tsinghua and advises a clinical neurology center, blending global academia, entrepreneurship, and frontline clinical data. An experimentalist at heart, he consistently prioritizes empirical results and deployable systems over purely theoretical models.
8 years of coding experience
14 years of employment as a software developer
B.S, Modern Physics, B.S, Modern Physics at University of Science and Technology of China
Ph.D, Physics, Ph.D, Physics at Syracuse University
Visiting Professor, Artificial Intelligence, Visiting Professor, Artificial Intelligence at Tsinghua University
Faculty and Staff Scientist, Faculty and Staff Scientist at Stanford University
English