Phil is a Research Software Engineer and former theoretical and computational physicist, with particular interest in mathematical modelling, code optimisation and parallelism. He is an experienced developer of “traditional” parallel HPC codes using MPI and OpenMP in C, C++ and Fortran, but also champions the use of the Numpy/Scipy stack for scientific computing with python. This includes the use of accelerator technologies including Numba and Cython to write custom python code which is speed competitive with traditional compiled languages, possible in conjunction with parallel frameworks such as Dask.