Previous members of the RSE Sheffield team:
Becky is a Research Software Engineer who worked with the University of Sheffield RSE group and the Alan Turing institute developing open-source guidance on best practice for reproducible data science. She took a leave of absence from her astrophysics PhD (where she uses simulations to study the evolution of star clusters) to work on this project.
Mike is now head of Research IT at the University of Leeds. He is also an EPSRC Research Software Engineering Fellow with 10+ years experience supporting scientific software, high performance computing and research software engineering at The University of Manchester and, more recently, the University of Sheffield. Mike specialises in high-level languages such as MATLAB, R, Python and Mathematica but also has significant experience with compiled languages such as C and Fortran and assists researchers in developing faster, more robust, more usable code. Mike writes about research software on his blog, www.walkingrandomly.com, which receives over 500,000 visitors annually.
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.
Tania left RSE Sheffield for a Research Associate/Research Software Engineer position at the University of Leeds. She has a PhD in computational nanomechanics at the University of Manchester where she focused on the multi-scale modelling of biological and biocompatible materials. She is part of Open Dream Kit (a Horizon2020 project), which focuses on the set up of Virtual research environments. Her interests include data science/engineering, reproducible research and supporting research teams to develop and optimise complex data analysis workflows. Also, she is actively involved in community building, mentoring, and scientific outreach activities within and outside the University of Sheffield.
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