Summary
Xubo Lyu is a Software Engineer in AI/ML at Google with nine years of experience bridging academic research and real-world robotics systems. He holds a PhD in Computing Science from Simon Fraser University where he developed novel RL–control hybrids and an end-to-end contrastive framework unifying SAC and LQR, work that led to CoRL/IROS recognition and successful zero-shot sim-to-real robot deployments. His industry background spans robotics navigation, ROS2 on Nvidia Jetson, and scalable multi-agent RL pipelines—achieving large improvements in safety, sample efficiency, and dataset tooling across startups and Huawei. Xubo combines deep control-theoretic insight with hands-on embedded and system-level engineering, making him effective at turning complex sequential decision-making research into production-capable solutions. Outside work he programs embedded systems, follows rocket tech, and plays basketball, reflecting a practical tinkerer’s mindset that fuels both experimentation and robust engineering.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Control Science and Engineering, 3.75 / 4.0, Master of Science - MS, Control Science and Engineering, 3.75 / 4.0 at Beihang University
Bachelor of Applied Science - BASc, Control Science and Engineering, 3.7 / 4.0, Bachelor of Applied Science - BASc, Control Science and Engineering, 3.7 / 4.0 at Northeastern University (CN)
Doctor of Philosophy - PhD, Computing Science, 4.07 / 4.3, Doctor of Philosophy - PhD, Computing Science, 4.07 / 4.3 at Simon Fraser University