Ronald Caplan

Computational Scientist

San Diego, California, United States
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Summary

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Senior
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Top School
Ronald Caplan is a computational scientist with over a decade of hands-on experience developing and optimizing numerical methods and high-performance implementations for physics-based models, with a focus on GPU-accelerated HPC. Based in San Diego, he leads the continued development, testing, and documentation of the MAS magnetohydrodynamic code used to simulate the solar corona and heliosphere, while also providing broader computational support and data-analysis tools for solar physics researchers. He blends deep academic training (PhD in Computational Science) with practical expertise in MPI, CUDA/PGI CUDA-Fortran, and large-scale parallel code organization. An active member of communities like OpenACC, AGU, APS, IEEE, ACM and SIAM, he pairs research-driven curiosity with production-minded engineering to push numerical solvers toward greater performance and scalability. Less obvious: his background includes visualization and visualization-driven analysis from work at national labs, giving him an uncommon eye for both algorithmic fidelity and how simulation results are interpreted and presented.
code11 years of coding experience
bookBachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at University of California, Santa Barbara
bookDoctor of Philosophy (Ph.D.), Computational Science (Joint program with CSRC at SDSU), Doctor of Philosophy (Ph.D.), Computational Science (Joint program with CSRC at SDSU) at Claremont Graduate University
bookSan Diego State University
bookNon-degree program, Judiac Studies, Philosophy, Theology, Non-degree program, Judiac Studies, Philosophy, Theology at Ohr Somayach Tanenbaum Educational Center
languagesEnglish, Hebrew
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Github Skills (42)

stdpar10
solver10
jupyter-kernels10
multi-gpu10
sympy9
apl9
fortran9
bandwidth9
openacc9
gpu9
jupyter-notebook9
wolfram-language9
flops8
high-performance8
interactive8

Programming languages (11)

DockerfileC++ShellCRustLLVMHTMLJupyter Notebook

Github contributions (5)

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predsci/multigpu-test-code

Feb 2022 - Mar 2026

Contributions:13 pushes, 1 branch in 4 years 1 month
predsci/HipFT

Dec 2023 - Apr 2026

High-performance Flux Transport
Contributions:10 releases, 1 PR, 155 pushes in 2 years 5 months
gpumagnetogramstdparflux-transportdo-concurrent
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