Summary
Lizhi Yang is a PhD candidate in Mechanical Engineering at Caltech with 11 years of experience building and integrating robots and perception systems, focused on humanoid and legged platforms. She has a strong track record in research and real-world experiments—from developing navigation stacks and safe parameter learning for bipedal/quadruped locomotion to deploying assistive mobile apps using TensorFlow Lite for the visually impaired. Her background blends EECS fundamentals from UC Berkeley with hands-on industry and lab internships (DJI, Samsara, Berkeley AI and Hybrid Robotics labs), enabling rapid prototyping and end-to-end system integration. Notably, she has co-authored multiple conference papers and led sensor and software efforts that bridge perception, control, and human-centered robotics. Colleagues describe her as a persistent coder and experimenter who keeps shipping practical solutions while pursuing ambitious humanoid research.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, EECS, Bachelor of Science - BS, EECS at UC Berkeley College of Engineering
California Institute of Technology
Chinese, English