Xiaojian Xu is an AI research scientist at GE HealthCare in Bellevue, WA, applying multi-modal foundation models to healthcare challenges and bridging academic research with industrial-scale deployment. He earned a PhD in Computer Science from Washington University in St. Louis, focusing on computational imaging, inverse problems, optimization, deep learning, and computer vision. Previously as a Research Fellow at the University of Michigan, he developed subpixel-accurate DL feature extractors and diffusion-model鈥揵ased imaging priors, advancing learning-based imaging pipelines. His industry experience, including Meta (Oculus calibration) and Mitsubishi Electric Research Laboratories, reflects a strong track record of turning theory into practical algorithms for vision and imaging. He also served as Head TA for optimization at WashU, demonstrating leadership in mentorship and curriculum. Based in the Pacific Northwest, his work spans computational imaging, optimization, and deep learning, with an eye toward robust, real-world healthcare AI systems.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Washington University in St. Louis
Master's degree, Computer Systems Networking and Telecommunications, Master's degree, Computer Systems Networking and Telecommunications at University of Electronic Science and Technology of China
Contributions:8 pushes, 1 branch in 4 years 7 months
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