Kui Qian
Machine Learning Engineer at Huawei
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolKui Qian is a Machine Learning Engineer with a Ph.D. in Machine Learning & Data Science from UC San Diego and eight years of experience applying advanced ML to large-scale 3D brain imaging. Over five years of focused research, Kui developed and deployed novel neuron segmentation and detection methods that materially improved accuracy and pipeline efficiency, working closely with neuroscientists and software engineers. Now at Huawei, Kui bridges research and production, turning explanatory models into scalable services and maintaining high-quality data infrastructure. Comfortable communicating complex results to diverse audiences, Kui has a track record of interdisciplinary collaboration that speeds project delivery. Fluent in both academic rigor and engineering pragmatism, Kui brings deep domain expertise in imaging and a passion for pushing AI toward impactful, real-world neuroscience applications. An interesting thread through Kui’s work is combining acoustics training from Nanjing University with ML methods to inform signal-aware imaging approaches.
8 years of coding experience
6 years of employment as a software developer
University of California, San DiegoMaster's degree, Acoustics, Master's degree, Acoustics at Nanjing University
Github Skills (26)
theory6
graph5
sequence4
python3
tiled3
graph-theory3
scanner3
atlas2
image-processing2
portal2
command-line-tool2
computer-vision2
aws2
jupyterlab-extension2
image-segmentation2
Programming languages (2)
Github contributions (5)
yoavfreund/shapeology_code
May 2019 - Sep 2022
Analysis of shape distribution using graph theory
Contributions:2 PRs, 310 pushes, 1 branch in 3 years 4 months
graph-theorytheorydistributiongraph
qkprince/kuiqian
Feb 2018 - Jan 2019
Contributions:11 pushes, 1 branch in 11 months
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