Summary
Yuan Gao is an Associate Research Scientist at the Shenzhen Institute of Artificial Intelligence and Robotics for Society with 13 years of experience building robot learning systems, software architectures, and machine learning algorithms. He holds a PhD in Robotics from Uppsala University and has combined academic roles (adjunct professor, visiting scholar at Cambridge and KTH) with applied research at industry labs including The Curious AI Company and Nokia Research. His work spans deep learning, reinforcement learning, and robotic adaptation, with a long-running focus on multi-agent systems and embedded control from early Robocup projects to modern robot learning. Yuan is adept at leading teams and translating research prototypes into demos and deployed systems, and he often bridges unsupervised learning insights with practical robotics challenges. Based in Shenzhen, he maintains an academic-industry hybrid profile and a personal site showcasing his cross-disciplinary projects and tooling.
13 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Hubei Huanggang Middle School
Bachelor's degree in Embedded System and Telecommunication, Bachelor's degree in Embedded System and Telecommunication at Vaasan ammattikorkeakoulu VAMK University of Applied Sciences
Master of Science Algorithms and Machine Learning with Minor in Mathmatics, Master of Science Algorithms and Machine Learning with Minor in Mathmatics at University of Helsinki
Doctor of Philosophy (Ph.D.) Robotics, Doctor of Philosophy (Ph.D.) Robotics at Uppsala University
Chinese, English, finnish(beginner's level), swedish(beginner's level)