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.
10 years of coding experience
Bachelor of Arts (B.A.), Computer Science, Bachelor of Arts (B.A.), Computer Science at University of California, Santa Barbara
Doctor 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
San Diego State University
Non-degree program, Judiac Studies, Philosophy, Theology, Non-degree program, Judiac Studies, Philosophy, Theology at Ohr Somayach Tanenbaum Educational Center
Contributions:9 releases, 140 pushes, 1 branch in 1 year 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.