Summary
Shidan 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 Edinburgh
Bachelor's degree, Biology/Biological Sciences, General, Bachelor's degree, Biology/Biological Sciences, General at University of Science and Technology of China
Doctor 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