Xiao-qing Yang
Scientist at Brookhaven National Laboratory
Town of Brookhaven, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolXiao-qing Yang is a scientist at Brookhaven National Laboratory with a decade of experience applying deep learning to X-ray imaging, tomography, and phase-contrast imaging. Originally trained in fluid mechanics, he brings a cross-disciplinary perspective that blends experimental imaging physics with computational modeling. His work focuses on extracting richer structural information from complex imaging modalities, leveraging modern ML techniques to push the limits of tomographic reconstruction. Based in the Town of Brookhaven, NY, he combines national-lab scale resources with academic rigor from a long-term association with the University of Florida. Colleagues benefit from his rare mix of hands-on imaging expertise and algorithmic skill, which helps bridge theory and practical instrument-driven challenges.
10 years of coding experience
University of Florida
Github Skills (16)
imaging9
tomography9
conda9
conda-forge8
extraction7
deep-learning7
bank3
visualization3
database2
data-analysis2
smithy2
convolutional-neural-networks2
scipy-stack1
python1
ipython1
Programming languages (3)
Github contributions (5)
tomography/xlearn
Jun 2017 - Jun 2022
Deep learning toolbox for x-ray imaging
Contributions:55 commits, 7 PRs, 52 pushes in 5 years
deep-learningimaging
XYangXRay/atomo
Jul 2018 - Jun 2022
Contributions:2 PRs, 6 pushes, 1 branch in 3 years 11 months
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