Summary
Rui Guo is a Machine Learning Scientist with 13 years of experience specializing in deep learning and cognitive computing, currently advancing AI at Intuitive after leading research efforts at Toyota North America. He combines strong theoretical foundations in GANs, RNNs, CNNs and deconvolutional models with practical deployments in automotive perception, cooperative driving, and monocular depth estimation. Rui has a proven publication record with top-tier conference awards, and a knack for turning cutting-edge research into engineering-ready building blocks for alternative reality and automotive AI. His work spans sensor fusion, style-transfer for night-to-day depth, and annotation-free supervision, reflecting a focus on scalable, real-world perception under challenging conditions. Trained to PhD level with cross-disciplinary experience from hyperspectral imaging to wearable sensor analytics, he brings both academic rigor and systems-oriented pragmatism. Colleagues value his ability to translate novel theory into robust pipelines that accelerate AI adoption in safety-critical domains.
13 years of coding experience
13 years of employment as a software developer
Graduate, Electrical Engineering, Computer Vision, Graduate, Electrical Engineering, Computer Vision at West Virginia University
Bachelor of Applied Science - BASc; Master of Science in Engineering, Applied Physics, Electrical Engineering, Bachelor of Applied Science - BASc; Master of Science in Engineering, Applied Physics, Electrical Engineering at Beihang University
PhD, Computer Engineering, PhD, Computer Engineering at University of Tennessee-Knoxville
English, Chinese