Nathaniel Kerman is a software engineer specializing in data systems with a decade of experience applying astrophysics training to operational science and satellite projects. A Yale Astrophysics graduate, he has supported Hubble operations at STScI and now contributes to the CLARREO climate-sensing satellite at LASP, pairing domain expertise with advanced Python and optical modeling skills. He designs practical, inclusive data-science curricula—having taught an upper-level course at CU Boulder—and brings hands-on experience turning complex instrument pipelines into accessible, well-documented tools, as reflected in his technical-writing contributions to STScI’s widely used notebooks. Comfortable bridging research and production, Nathaniel combines project leadership with a knack for clear communication and a demonstrated commitment to making scientific data more usable by diverse audiences.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Astrophysics, 3.8, Bachelor of Science - BS, Astrophysics, 3.8 at Yale University
Contributions:52 reviews, 68 commits, 35 PRs in 1 year 4 months
Contributions summary:Nathaniel's commits primarily focus on improving the clarity and organization of the documentation within the repository. They made numerous edits to the text, correcting typos and improving the flow of explanations. The contributions involved clarifying the purpose of the project, providing context for the various steps, and ensuring the text was accessible to the target audience. The user's work improved the readability and usability of the notebooks.
Contributions:29 PRs, 160 pushes, 66 branches in 1 year 6 months
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