Summary
Huazhe Xu is a Postdoctoral Researcher at Stanford with nine years of experience at the intersection of machine learning, deep reinforcement learning, and computer vision. He completed a Ph.D. in Computer Science at UC Berkeley and has held research roles at Facebook AI (including a Visiting Robot Scientist position) and ICSI, focusing on model-based RL, planning, and embodied perception. His work bridges foundational research and robotic experimentation, bringing simulation-trained models closer to real-world robot behavior. Huazhe has strong academic roots from Tsinghua and an exchange stint at the University of Toronto, underscoring a broad international training background. He shares research and resources at hxu.rocks, signaling an active commitment to open dissemination beyond traditional publications. Notably, his career blends rigorous theory with hands-on robotics systems, making him adept at turning algorithms into physical agent capabilities.
9 years of coding experience
2 years of employment as a software developer
University of California, Berkeley
Academic Exchange Student, ECE, 4.0, Academic Exchange Student, ECE, 4.0 at University of Toronto
Bachelor's degree, EE, Bachelor's degree, EE at Tsinghua University