Changhao Wang is a postdoctoral researcher at Stanford with eight years of experience driving advances in robotics manipulation and embodied intelligence, following a PhD from UC Berkeley and a research stint at Meta FAIR. His work blends deep reinforcement learning, model-based methods, and tactile-aware dexterous manipulation—tested on platforms like the Allegro Hand with Uskin sensors and in contact-rich, compliant control settings at Everyday Robots. At Meta FAIR he focused on embodied AI research, and his internships at Honda Research Institute and Google X gave him hands-on expertise deploying algorithms on real hardware. Known for bridging rigorous academic research with practical system implementation, he excels at translating learned models into robust robot behaviors in complex, contact-heavy environments.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of California, Berkeley
Bachelor's degree, Bachelor's degree at Shanghai Jiao Tong University
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