Shidan Wang
Assistant Professor at UT Southwestern Medical Center
Dallas, Texas, United States
Summary
👤
Senior🎓
Top SchoolShidan Wang is an Assistant Professor and data scientist with a decade of experience applying deep learning and digital image processing to biomedical problems. With a PhD in Biomathematics, Bioinformatics, and Computational Biology from UT Southwestern, he blends rigorous quantitative modeling, survival analysis, and practical software skills across Python, R, Matlab and C/C++. At UT Southwestern he progressed from PhD student to data scientist to faculty, translating research prototypes into reproducible analytics for clinical research. His work focuses on designing and validating machine learning pipelines for image-based biomarkers, often bridging domain biology from his undergraduate training in China and Edinburgh with computational methods. Comfortable in both research and production settings, he brings hands-on implementation experience alongside statistical rigor. Colleagues note his ability to turn complex imaging datasets into interpretable models that address clinically relevant questions.
10 years of coding experience
2 years of employment as a software developer
Biology, General, Biology, General at The University of EdinburghBachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at University of Science and Technology of ChinaDoctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology at The University of Texas Southwestern Medical Center at Dallas
Github Skills (24)
convolutional-neural-networks10
survival-analysis10
machine-learning10
image-recognition10
computer-vision10
data-science9
pytorch9
python9
tensorflow9
deep-learning9
jax9
jupyter-notebook7
jupyter6
backend5
nvidia5
Programming languages (3)
Github contributions (5)
sdw95927/pathology-images-analysis-using-CNN
Oct 2019 - Apr 2021
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
Contributions:2 commits, 21 pushes, 1 branch in 1 year 5 months
convolutional-neural-networkspathology-imageimage-recognitionsurvival-analysis
sdw95927/useful_functions
Sep 2021 - Jul 2026
Contributions:71 pushes, 1 branch in 4 years 10 months
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