Jonah Miller is a computational physicist and numerical relativist with 13 years of research experience bridging theory and high-performance simulation, currently a scientist at Los Alamos National Laboratory and a Ph.D. candidate at the Guelph-Waterloo Physics Institute. He brings deep expertise in differential geometry, general relativity, ultrafast optics, and scalable numerical methods, having worked on black-hole and quantum-gravity simulations as well as Monte Carlo approaches to causal dynamical triangulations. At Perimeter Institute he supported researchers as a computing consultant and HPC manager, coauthoring a peer-reviewed high-energy physics paper and teaching numerical methods in Python. Jonah contributes to open-source scientific tooling as a technical writer for the widely used yt-project, improving accessibility for complex mesh workflows. A summa cum laude graduate in math and physics, he pairs rigorous analytic training with hands-on cluster and Linux experience, and maintains a physics outreach blog and fiction writing practice that sharpen his science-communication skills.
Contributions:9 commits, 1 comment, 1 issue in 1 year 9 months
Contributions summary:Jonah primarily contributed to the project's documentation, adding detailed explanations and examples for loading and working with hexahedral mesh data within the yt framework. They provided documentation for relevant functions and classes and also updated the installation instructions to reflect the necessary dependencies. Their work improved the clarity and usability of the project's documentation, making it more accessible for users.
Contributions:82 commits, 51 pushes in 3 years 11 months
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