Summary
Yuchen Cui is an Assistant Professor of Computer Science at UCLA who specializes in machine learning, robotics, and human-robot interaction, with nine years of research and engineering experience spanning academia and industry. His work develops efficient robot learning algorithms, explores untapped data modalities, and designs intuitive interactive interfaces to make robots accessible to everyday users. Prior roles include a postdoc at Stanford, a PhD and research at UT Austin on inverse reinforcement learning and learning from demonstration, and internships at Facebook AI, Diligent Robotics, and Honda Research, giving him a strong blend of theoretical depth and real-world system building. He aims to democratize automation by translating interactive learning into practical, user-centered robotic systems—often leveraging unconventional data sources to accelerate learning.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of Texas at Austin
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Purdue University
Chinese, English