Hong Shang
Team Lead at Tencent
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolHong Shang is a team lead with 11 years of experience applying computer vision and bioengineering to data-driven healthcare innovation, currently leading 3D content generation efforts at Tencent in Shenzhen. He progressed from medical imaging research to product-focused engineering—moving MRI application ownership at GE Healthcare into senior research roles developing clinical imaging analysis and later scalable 3D techniques. Trained in engineering physics at Tsinghua and holding PhD-level bioengineering credentials from UC San Francisco/Berkeley, he blends deep academic rigor with practical product delivery. Known for turning complex imaging algorithms into production features, he bridges research, engineering, and clinical needs to accelerate impactful healthcare solutions. An understated strength is his cross-domain fluency: physics, bioengineering, and applied CV, which helps him translate research innovations into deployable systems.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioengineering, Doctor of Philosophy (Ph.D.), Bioengineering at University of California, BerkeleyBachelor's Degree, Engineering Physics, Bachelor's Degree, Engineering Physics at Tsinghua UniversityDoctor of Philosophy - PhD, Bioengineering, Doctor of Philosophy - PhD, Bioengineering at University of California, San Francisco
Github Skills (17)
mri4
meta-analysis3
doi3
imaging2
connectivity2
matlab2
octave2
image-reconstruction2
prototyping2
bids2
spectral1
toolbox1
zenodo1
brain-imaging1
spatial1
Programming languages (2)
Github contributions (3)
shanghong/Multiband-RF-pulse-Design
Jun 2015 - Sep 2015
A framework for designing RF pulse with multiband magnitude profile, arbitrary phase profile and generalized flip angle, using convex optimization. Spectral sparsity was exploited to further optimize pulse performance, such as minimizing pulse duration, transition width and total energy with flexible trade-off.
Contributions:12 commits, 11 pushes, 1 branch in 2 months
LarsonLab/hyperpolarized-mri-toolbox
Nov 2015 - Nov 2015
The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915
Contributions:1 commit in 1 day
gradientsgoalprototypingsoftware-toolsimaging
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