Pingjun Chen is a Principal Data Scientist and computational pathology researcher with eight years of experience applying AI and multi-modal data integration to advance cancer prevention, diagnosis, and personalized treatment. Based at MD Anderson Cancer Center, he has progressed from postdoctoral fellow to instructor and now leads development of AI-assisted digital pathology tools that automate diagnosis, uncover novel biomarkers, and bridge biology with scalable computational frameworks. Trained with a PhD in Biomedical Engineering and a background in biomedical image analysis and software engineering, he blends rigorous academic research with practical model deployment in a clinical setting. Notably, his work emphasizes harmonizing perspectives across pathologists, oncologists, biologists, and computer scientists to build robust, clinically actionable systems that address unmet needs in oncology.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Biomedical Image Analysis, Master of Science - MS Biomedical Image Analysis at Dalian University of Technology
Doctor of Philosophy (PhD) Biomedical Engineering, Doctor of Philosophy (PhD) Biomedical Engineering at University of Florida
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