Qinxun Bai
Founding Researcher at Stealth Startup
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolQinxun 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.
9 years of coding experience
7 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 SciencesBachelor’s Degree Electronic Engineering, Bachelor’s Degree Electronic Engineering at Tsinghua UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Boston University
English, Chinese
Github Skills (18)
machine-learning10
agent10
hardware9
sdk9
computer-vision8
camera-api7
gradient-descent7
realsense6
kernel5
gaussian-processes4
bayesian-inference4
python3
jax2
neural-network2
golang2
Programming languages (4)
Github contributions (5)
runjerry/alf
Jun 2019 - Jan 2026
Agent Learning Framework
Contributions:72 pushes, 46 branches in 6 years 8 months
agentdeep-learningmachine-learningframework-learningtensorflow
runjerry/KFAC-Pytorch
Feb 2022 - Nov 2025
Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
Contributions:3 pushes, 4 branches in 3 years 10 months
pytorchkfacpytorch-implementationnaturalgradient
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