Daniel Herman

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.
code11 years of coding experience
bookBachelor of Science (B.S.), Biochemistry and Molecular Biology, Bachelor of Science (B.S.), Biochemistry and Molecular Biology at Massachusetts Institute of Technology
bookDoctor of Medicine (M.D.), Doctor of Medicine (M.D.) at Harvard Medical School
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Github Skills (9)

api6
scraper3
scrape3
r-programming2
metadata2
programming-language1
visualization1
excel1
data-analysis1

Programming languages (1)

HTML

Github contributions (5)

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hermands/.emacs.d

Oct 2015 - Jan 2018

Contributions:4 pushes in 2 years 3 months
herman-clm/AFP_ONTD

Jul 2024 - Oct 2024

Contributions:1 release, 4 branches, 1 tag in 2 months
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Daniel Herman - Director, Data Science, Pathology & Laboratory Medicine