Summary
Linjie Xu is a researcher focused on reinforcement learning, robotics, and game AI, currently working at Shanghai X AI Lab with nine years of experience across academic and industry settings. He holds a PhD candidacy from Queen Mary University of London and has contributed to real-world systems—ranging from OPPO’s early voice assistant to robot-arm control via RL that led to an IROS submission. His industry internships include applied ML roles at Microsoft and Apple, where he worked on offline RL and automatic failure analysis respectively, bridging cutting-edge research with production needs. Linjie’s background spans multi-task learning and sparse-reward robotic control, reflecting a strength in making RL methods robust and applicable beyond simulations. Based in London, he combines academic rigor with practical delivery, often collaborating across cross-functional teams to turn research into deployable solutions. A less obvious thread in his career is the repeated focus on stability and robustness, emphasizing reliable performance in messy, real-world environments.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Software Engineering, Bachelor of Engineering - BE, Software Engineering at Nanchang University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of London