Summary
Yaofeng Zhong is a founding research scientist at Breakpoint AI with eight years of experience applying deep learning, optimization, dynamical systems, and control to industrial automation, robotics, and metaverse problems. He earned a Ph.D. in Mechanical Engineering from Princeton under Prof. Naomi Ehrich Leonard and led physics-informed AI research at Siemens, producing lead-author publications at NeurIPS, ICLR, and L4DC. Yaofeng combines practical prototyping for products like SIMATIC Robot Pick AI with expertise in differentiable physics (Nvidia Warp, Brax, Nimble) and frameworks such as PyTorch, JAX, and Nvidia Modulus. He is skilled at turning rigorous mathematics into production-ready R&D, bridging simulation, control, and industrial deployment. Based in San Francisco, he is motivated by building societally beneficial AI solutions that close the gap between theory and industrial practice.
8 years of coding experience
10 years of employment as a software developer
High School Diploma, High School Diploma at Shenzhen Middle School
Undergraduate, Civil Engineering, GPA:90.6/100 (Rank:9/102), Undergraduate, Civil Engineering, GPA:90.6/100 (Rank:9/102) at Tsinghua University
Doctor of Philosophy (Ph.D.), Mechanical Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering at Princeton University
English, Chinese