Jun Jiang
Assistant Professor at The University of Texas Health Science Center at Houston (UTHealth Houston)
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolJun Jiang is an Assistant Professor and computational biomedical engineer with nine years of experience applying data-driven methods to histopathology and multi-modal biomedical imaging to improve disease diagnosis and treatment. Trained with a PhD in Biomedical Engineering, he has advanced imaging-phenotype correlations at Mayo Clinic and now leads research at UTHealth Houston to elucidate cancer mechanisms and inform personalized therapies. His work blends deep learning, image analysis, and clinical insight to reveal biologically meaningful patterns from routine pathology slides—translating algorithmic findings toward actionable clinical biomarkers. Active on GitHub, he focuses on reproducible computational tools for biomedical image analysis, reflecting a commitment to open, clinically relevant research.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Biomedical/Medical Engineering, Doctor of Philosophy - PhD Biomedical/Medical Engineering at Southern Medical University
Github Skills (39)
slide10
image-processing10
extraction10
wsi10
openslide10
digital-pathology10
imagej9
qupath9
computer-vision9
javafx8
bioinformatics8
patch7
kmeans7
deep-learning7
groovy7
Programming languages (5)
Github contributions (5)
smujiang/CalculateSUV
Mar 2017 - Aug 2022
Contributions:3 commits, 2 pushes, 1 branch in 5 years 5 months
smujiang/WSITools
Oct 2019 - Nov 2022
Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for deep learning purposes.
Contributions:2 reviews, 174 commits, 13 PRs in 3 years 2 months
wsislidewhole-slide-imagedeep-learningcomputer-vision
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