Senior Research Scientist In General AI Lab at Horizon Robotics
San Francisco Bay Area United States
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Summary
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Qinxun Bai is a Senior Research Scientist in Horizon Robotics’ General AI Lab with eight years of industry research experience bridging theoretical and applied machine learning, particularly for computer vision. He holds a PhD from Boston University and has a track record of bringing mathematical tools—stochastic optimization, functional analysis, differential geometry—to bear on practical problems like scene reconstruction, depth fusion, and domain adaptation. Prior roles at Hikvision Research America, Vicarious AI, and Microsoft Research Cambridge reflect a blend of foundational innovation (e.g., geometric setups for RL and MCMC speedups) and production-facing systems. His work repeatedly targets underexplored, principled formulations that yield new algorithms rather than incremental engineering tweaks. Based in the San Francisco Bay Area, he combines academic rigor with applied impact across both research labs and industry projects. An intriguing throughline is his early contributions to large-scale 3D face synthesis for real-world deployment, showing a long-standing focus on turning geometric insight into working systems.
8 years of coding experience
12 years of employment as a software developer
Master’s Degree, Pattern Recognition and Intelligent Systems, Master’s Degree, Pattern Recognition and Intelligent Systems at National Laboratory of Pattern Recognition, Chinese Academy of Sciences
Bachelor’s Degree, Electronic Engineering, Bachelor’s Degree, Electronic Engineering at Tsinghua University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Boston University
Contributions:15 pushes, 1 branch in 2 years 7 months
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Qinxun Bai - Senior Research Scientist In General AI Lab at Horizon Robotics