Skills - Numerical methods; Partial differential equation; Automatic programming; Mathematical model; Parallel computing; HPC; C (programming language); C++; Wolfram Mathematica; Python; Bash (Unix shell); Linux; Mac OS; Git; Docker (software); Jenkins (software); libvirt; MPI; OpenMP; VisIt; Optimization; Version control; Reproducibility; Virtualization; Software testing; Correctness testing; Visualization; Middleware
Academic Domains - Physics; General Relativity; Astrophysics; Mathematics
Ian Hinder is a Research Software Engineer with a background in high performance computing and numerical methods. He obtained his PhD in Applied Mathematics (General Relativity) at the University of Southampton in 2005; and subsequently worked as a researcher at Penn State University and the Max Planck Institute for Gravitational Physics; colliding black holes on supercomputers.
Ian is one of the maintainers of the Einstein Toolkit; the main open source framework for numerical relativity. He is interested in good software development and data analysis practices for research; and correctness and reproducibility of computational research outputs. He has a background in C/C++; Python; MPI; OpenMP; and Mathematica.