Summary
Fu-jen Chu is a Senior Research Scientist at Facebook AI Research with eight years of experience bridging robotics, computer vision, and deep learning, and a Ph.D. from Georgia Tech. His work spans applied research and systems implementation—ranging from egocentric robot-arm control with ROS and real-time embedded pedestrian detectors to multi-body structure-from-motion for autonomous navigation. He has a strong background in C++, Python, MATLAB, ROS, and practical deployment on embedded platforms like Nvidia Jetson and TI ADAS processors. Fu-jen combines academic rigor with production-minded engineering, having led projects that integrate AR feedback, kinematics, and visual perception into assistive robotics. Based in Menlo Park, he brings both research leadership at FAIR and hands-on experience from diverse labs and industry internships, often optimizing algorithms for real-time constraints. His portfolio reflects a consistent focus on making perception and control algorithms work reliably in the real world, not just in simulation.
8 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering, 4.0/4.0, Bachelor’s Degree, Electrical Engineering, 4.0/4.0 at National Taiwan University
Master’s Degree, Electrical Engineering and Computer Science, 3.8/4.0, Master’s Degree, Electrical Engineering and Computer Science, 3.8/4.0 at University of Michigan
Doctor of Philosophy (Ph.D.), Electrical & Computer Engineering, and Institute of Robotics & Intelligent Machine, Doctor of Philosophy (Ph.D.), Electrical & Computer Engineering, and Institute of Robotics & Intelligent Machine at Georgia Institute of Technology
English, Chinese