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Ronald M. Caplan Email & Phone Number

Computational Scientist at Predictive Science Inc.
Location: San Diego, California, United States 6 work roles 4 schools
1 work email found @predsci.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Computational Scientist
Location
San Diego, California, United States
Company size

Who is Ronald M. Caplan? Overview

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Quick answer

Ronald M. Caplan is listed as Computational Scientist at Predictive Science Inc., a with 16 employees, based in San Diego, California, United States. AeroLeads shows a work email signal at predsci.com and a matched LinkedIn profile for Ronald M. Caplan.

Ronald M. Caplan previously worked as GTA Instructor at San Diego State University and Scientific Programmer at Sdsu Research Foundation. Ronald M. Caplan holds Doctor Of Philosophy (Ph.D.), Computational Science (Joint Program With Csrc At Sdsu) from Claremont Graduate University.

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{last}{first_initial}@predsci.com
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Profile bio

About Ronald M. Caplan

Dr. Ron Caplan is a computational scientist at Predictive Science Inc. (PSI) with over fifteen years of experience in applying computational methods in applied mathematics and physics. His main research interests are in developing and optimizing numerical methods for simulating physics-based models and their implementations in parallel high performance computing environments including GPU accelerators. His research currently focuses on the continued development and optimization of PSI's thermodynamic magnetohydrodynamic code (MAS) used to study the solar corona and heliosphere, as well as providing computational solutions for additional projects including data analysis of solar images.

Listed skills include Presentation Development, Partial Differential Equations, C, Java, and 43 others.

Current workplace

Ronald M. Caplan's current company

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Predictive Science Inc.
Predictive Science Inc.
Computational Scientist
san diego, california, united states
Website
Employees
16
AeroLeads page
6 roles

Ronald M. Caplan work experience

A career timeline built from the work history available for this profile.

Computational Scientist

Current

Greater San Diego Area

I provide computational support for researchers in Solar physics, including HPC, GPU programming, and development of numerical methods.A major specific application is in the development, optimization, organization, testing, and documentation of the MAS code - a parallel large-scale spherical magnetohydrodynamic finite-difference code used to study the solar corona and heliosphere. I also perform original research in areas of computational Solar physics.

Jul 2012 - Present

Gta Instructor

San Diego State University

Taught computer laboratory sessions for a calculus for biology course.

Sep 2008 - Aug 2012

Scientific Programmer

Explored implementing CUDA GPU parallelism in a hybrid WENO-spectral hydrodynamic code written in FORTRAN. Wrote sample codes of various routines in PGI CUDA-FORTRAN and computed speed-up. Wrote report including overall recommendations and code implementations.

Jun 2010 - Aug 2010

Scientific Programmer

Developed parallel version of an in-progress 3D EM code using MPI in FORTRAN Wrote user manuals for code as well as instructions for setting up parallel programming enviroments on a multi-core windows machine.

Jul 2008 - Aug 2008

Visualization Programmer

Los Alamos, Nm And Santa Barbara, Ca

Wrote 3D visualization software in IDL for RAGE/SAGE astrophysical simulations output. Wrote 2D visualization and ray-tracing analysis software in IDL for use with simulation data. Learned to use various software packages for viewing AMR data from RAGE/SAGE Created images and movies from simulation data for use with presentations. Wrote detailed instruction manuals for developed software.

Jul 2003 - Aug 2003

Data Entry And Analysis

Livermore, Ca

Condensed information from approximately 800 USA-FSU technical contracts into new database using Microsoft Access and Excel. Created queries, charts, and graphs from data gathered.

Jun 2000 - Aug 2000
Team & coworkers

Colleagues at Predictive Science Inc.

Other employees you can reach at predsci.com. View company contacts for 16 employees →

4 education records

Ronald M. Caplan education

Non-Degree Program, Judiac Studies, Philosophy, Theology

Ohr Somayach Tanenbaum Educational Center

Bachelor Of Arts (B.A.), Computer Science

Activities and Societies: Hillel, American Students for Israel, Ballroom Dance ClubMinor in Astronomy and Planetary Science

FAQ

Frequently asked questions about Ronald M. Caplan

Quick answers generated from the profile data available on this page.

What company does Ronald M. Caplan work for?

Ronald M. Caplan works for Predictive Science Inc..

What is Ronald M. Caplan's role at Predictive Science Inc.?

Ronald M. Caplan is listed as Computational Scientist at Predictive Science Inc..

What is Ronald M. Caplan's email address?

AeroLeads has found 1 work email signal at @predsci.com for Ronald M. Caplan at Predictive Science Inc..

Where is Ronald M. Caplan based?

Ronald M. Caplan is based in San Diego, California, United States while working with Predictive Science Inc..

What companies has Ronald M. Caplan worked for?

Ronald M. Caplan has worked for Predictive Science Inc., San Diego State University, Sdsu Research Foundation, Kms Technologies, and Los Alamos National Laboratory.

Who are Ronald M. Caplan's colleagues at Predictive Science Inc.?

Ronald M. Caplan's colleagues at Predictive Science Inc. include Viacheslav Titov, James Turtle, Alexis Vergnet, Roberto Lionello, and Office Manager.

How can I contact Ronald M. Caplan?

You can use AeroLeads to view verified contact signals for Ronald M. Caplan at Predictive Science Inc., including work email, phone, and LinkedIn data when available.

What schools did Ronald M. Caplan attend?

Ronald M. Caplan holds Doctor Of Philosophy (Ph.D.), Computational Science (Joint Program With Csrc At Sdsu) from Claremont Graduate University.

What skills is Ronald M. Caplan known for?

Ronald M. Caplan is listed with skills including Presentation Development, Partial Differential Equations, C, Java, Mpi, Openmp, Gpgpu, and Cuda.

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