Director, Data Science, Pathology & Laboratory Medicine
Philadelphia, Pennsylvania, United States
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Summary
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Senior
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Top School
Daniel Herman is a physician-scientist and Director of Data Science in Pathology & Laboratory Medicine at the University of Pennsylvania, combining 11+ years of clinical and research experience to translate AI and data science into pragmatic clinical tools. Trained MD/PhD at Harvard and clinically in pathology at the University of Washington, he practices as a clinical pathologist while leading computational method development to make prediction models more interpretable, fair, and actionable. He also directs an endocrinology clinical chemistry lab and runs pragmatic clinical trials to evaluate AI-triggered decision support, uniquely bridging upstream algorithm research with downstream implementation. Based in Philadelphia, he focuses on improving screening for underdiagnosed diseases and emphasizes practical, auditable solutions that work in real-world healthcare settings.
11 years of coding experience
Bachelor of Science (B.S.), Biochemistry and Molecular Biology, Bachelor of Science (B.S.), Biochemistry and Molecular Biology at Massachusetts Institute of Technology
Doctor of Medicine (M.D.), Doctor of Medicine (M.D.) at Harvard Medical School
Contributions:1 release, 4 branches, 1 tag in 2 months
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Daniel Herman - Director, Data Science, Pathology & Laboratory Medicine