Jiahao Wang is a Ph.D. student in computer science at Johns Hopkins University with eight years of research experience in computer vision, robotics, and medical imaging. Currently a research intern at Waymo, he has previously contributed to human body motion synthesis, perception-aware 3D scene reconstruction at ETH Zürich, and vision-based control for low-cost robotic arms at JHU. His background spans feature matching and CT image segmentation from work at Wuhan University and UCLA Health, reflecting a strong blend of theoretical and applied vision expertise. Trained in robotics and systems at ETH and holding a top-ranked undergraduate record, he combines rigorous academic grounding with hands-on experimentation on real-world robotic and perception systems. Notably, his trajectory shows a consistent focus on bridging perception and control—applying visual learning to enable physical interaction and reconstruction in complex 3D environments.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electronic Information Engineering, 3.92/4.00, Bachelor's degree, Electronic Information Engineering, 3.92/4.00 at Wuhan University
Johns Hopkins University
Master of Science - MS, Robotics, Systems and Control, Master of Science - MS, Robotics, Systems and Control at ETH Zürich
Contributions:84 commits, 108 pushes, 1 branch in 4 years 8 months
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