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.
code10 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 (41)

solver10
jupyter-kernels10
multi-gpu10
jupyter9
sympy9
apl9
stdpar9
bandwidth9
openacc9
gpu9
flops9
jupyter-notebook9
wolfram-language9
high-performance8
interactive8

Programming languages (9)

DockerfileC++RustCLLVMHTMLJupyter NotebookFortran

Github contributions (5)

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predsci/POT3D

Jan 2021 - Jan 2023

POT3D: High Performance Potential Field Solver
Contributions:3 releases, 3 reviews, 33 commits in 2 years
openaccgpusolverperformancefield
predsci/HipFT

Dec 2023 - Mar 2025

Contributions:9 releases, 140 pushes, 1 branch in 1 year 3 months
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Ronald Caplan - Computational Scientist