Summary
Xiaodong Shi is a Senior Electric Vehicle Engineer at BYD with a decade of experience bridging academic research and industrial vehicle systems. He holds a PhD in Engineering Science from the University of Oxford and previously led Bayesian system identification and structural health monitoring projects as a Research Fellow at Nanyang Technological University. His expertise spans Bayesian statistics, system identification, signal/data processing, high-performance optimization, and machine learning applied to vibration and vehicle data. Xiaodong has published in top journals such as Mechanical Systems and Signal Processing and has driven practical deployments of monitoring solutions in Singapore. Based in Shenzhen, he combines deep theoretical training with hands-on EV and autonomy engineering, favoring probabilistic approaches to make sensing and diagnostics more robust. A detail that surfaces in his GitHub bio—an aphorism in Chinese—hints at a reflective, self-motivated approach to problem solving.
10 years of coding experience
Doctor of Philosophy - PhD, Engineering Science, Doctor of Philosophy - PhD, Engineering Science at University of Oxford
Bachelor of Engineering - BE, Civil Engineering, Bachelor of Engineering - BE, Civil Engineering at University of Nottingham