Summary
Yiheng Zhu is a PhD researcher in Soft Robotics with nine years of experience at the intersection of reinforcement learning, computer vision, and combinatorial optimization. Based at the University of Bristol and affiliated with FARSCOPE CDT in Autonomous Systems and Robotics, he combines academic rigor with hands-on implementation of AutoML and Neuroevolution techniques. His industry stint at Alibaba involved scaling search algorithms (GA, GP, ALNS) on distributed TensorFlow for neural architecture search, showing strength in both theory and production-aware experimentation. He has taught robotics and mathematical methods, mentoring peers through reading groups and lab preparation, which complements his research focus. Trained originally as an electrical and electronic engineer with first-class honors, he brings a hardware-aware perspective to soft-robotics problems. Outside publications, his profile signals a rare blend of combinatorial optimization expertise applied to learned robotic systems.
9 years of coding experience
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, First Class, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, First Class at University of Nottingham
Doctor of Philosophy - PhD, Soft Robotics, Doctor of Philosophy - PhD, Soft Robotics at University of Bristol