Ben Nathanson
AACR Scientist-Survivor Program at Congressionally Directed Medical Research Programs
New Jersey, United States
Summary
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Senior🎓
Top SchoolBen Nathanson is a New Jersey-based software engineer and patient advocate who currently advances prostate cancer education and research through the AACR Scientist-Survivor Program and the AnCan Foundation. With a career spanning 1985–2020 at IBM, he engineered large-scale C++ verification environments and contributed to the Blue Gene supercomputers, earning recognition including National Medal of Technology as part of the design team. He also serves as a consumer reviewer for the Congressionally Directed Medical Research Programs and advised on prostate cancer guidelines, turning complex research into actionable guidance for patients and caregivers. An active open-source contributor, he enhanced NumPy documentation as a technical writer, helping scientists access clearer, more consistent guidance. He chronicles his insights on prostate cancer in the Substack blog Progressions and brings a rigorous engineering mindset to advocacy, education, and clinical collaboration. He holds an MS and BS in Electrical Engineering from Columbia University, reinforcing his foundation in systems-level thinking and multidisciplinary problem solving.
9 years of coding experience
35 years of employment as a software developer
Master of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at Columbia University - Fu Foundation School of Engineering and Applied Science
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
documentations10
restructuredtext10
documentation10
sphinx9
python7
Programming languages (2)
Github contributions (5)
numpy/numpy
May 2020 - Oct 2020
The fundamental package for scientific computing with Python.
Role in this project:
Technical Writer
Technical WriterContributions:83 reviews, 67 commits, 41 PRs in 4 months
Contributions summary:Ben primarily contributed to the NumPy project through extensive documentation updates. They focused on improving the clarity, accuracy, and organization of the documentation, including revising the glossary, updating how-to guides, and correcting broken links. Their work included incorporating contributions from others, streamlining the documentation process, and ensuring consistency with the project's style guidelines and standards.
lapackpythonmpindarrayconvolution
bjnath/season_of_docs_2020
Apr 2020 - Nov 2021
Contributions:15 PRs, 60 pushes, 11 branches in 1 year 7 months
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