Yuan Tian is a research engineer with nine years of experience building multimodal perception and 3D spatial systems for embodied intelligence, currently advancing multi-modal learning at Meta in Redmond. He previously led 3D vision and ToF-based hand-tracking research at OPPO and applied 3D perception to robotics and industrial inspection at Midea, blending academic rigor from a Ph.D. in Computer Science with practical product-focused engineering. His background spans real-time haptics, large-scene 3D reconstruction, and GPU-accelerated simulation, reflecting a strong foundation in both algorithm design and high-performance implementation. Known for closing the loop between sensing and interaction, he brings uncommon depth in haptic-enabled tele-immersion and hyperspectral/vision systems that inform perceptual robustness in real-world devices.
8 years of coding experience
12 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 Dallas
Master's Degree, Automation, Master's Degree, Automation at University of Science and Technology of China
Bachelor's Degree, Software Engineering, Bachelor's Degree, Software Engineering at Dalian University of Technology
Contributions:4 commits, 3 pushes, 1 branch in 2 days
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