Pete Riley, Ph.D.
Vice President, Chief Financial Officer, and Senior Research Scientist
Curriculum Vitae available upon request
Dr. Riley studies the large scale structure of the solar corona and inner heliosphere as well as the eruption and evolution of coronal mass ejections, and their interactions with the solar wind. He uses global magnetohydrodynamic (MHD) models to interpret coronal and heliospheric observations in an effort to understand the underlying physical processes at work.
Roberto Lionello, Ph.D.
Dr. Lionello has experience in computer simulations applied to several fields of astrophysics and solar physics. He is mainly interested in the simulations of the large scale structure of the solar corona and of the solar wind, and on the development of new algorithms.
Viacheslav Titov, Ph.D.
Senior Research Scientist
Dr. Titov is a theoretical plasma physicist with a strong record of publications in solar magnetohydrodynamics (MHD) and structural analysis of solar magnetic fields. He is experienced in advanced methods for solving differential equations of mathematical physics and skillful in using computer-algebraic systems and developing numerical algorithms.
Tibor Török, Ph.D.
Dr. Török is an astrophysicist who works on numerical simulations of dynamic phenomena occurring in the solar corona. He is mainly interested in the physics of solar eruptions, but also works regularly on other coronal phenomena like flux emergence and coronal jets.
Michal Ben-Nun, Ph.D.
Dr. Ben-Nun is a theoretical chemist with a strong record of developing and implementing new algorithms for ab initio molecular dynamics calculations and accurate large-scale quantum chemistry calculations. At Predictive Science, she is part of an Influenza Dynamics Forecasting group.
Cooper Downs, Ph.D.
Dr. Downs is an astrophysicist whose research focuses on understanding thermodynamic and magnetic processes in the solar corona. He is particularly interested in the improvement and validation of numerical models through direct comparisons to observational data.
Ronald M. Caplan, Ph.D.
Dr. Caplan is a computational scientist whose main interests are in developing and optimizing numerical methods for simulating physics-based models and their implementations in parallel high-performance-computing environments. His research currently focuses on the continued development and optimization of Predictive Science's magnetohydrodynamic codes used to study the solar corona and heliosphere, as well as providing computational solutions for additional projects.
James A. Turtle, Ph.D.
Dr. Turtle works in the areas of nonlinear dynamics, coupled oscillators, and computational analysis. Currently he works on modeling and forecasting infectious diseases, including Influenza-Like-Illness (ILI) forecasting. He has also used bifurcation theory to investigate synchronization in a network of coupled spin-torque nano oscillators.
Andres is a software engineer who works on the design and development of CORHEL and various visualization applications as well as web applications for designing simulation runs and analyzing simulation results. He is mainly interested in software engineering, user interface design and web development.