Robert (Bob) Turner
Research Software Engineer
Bio
Bob is a research software engineer who started his career in software and databases after completing a degree in Applied Physics at the University of Durham. After four years in the private sector, he did a PhD in Biophysics at the University of Leeds, before working as a postdoc researcher at the University of Sheffield in several departments, including Physics and Astronomy, Molecular Biology and Biotechnology Mechanical Engineering and the Dental School, reflecting an unusually broad range of research interests spanning microscopy, microbiology, engineering and healthcare.
An accomplished researcher with some important publications, as a software engineer Bob collaborates with researchers to develop and improve software. This of course involves writing code, but also lots of liaison, discussion, leadership and, most importantly, listening!
Bob codes in Python, R and Matlab using version control with git and applying good software engineering practices such as documentation, automated testing and continuous integration. He enjoys working with a diverse range of collaborators in different disciplines.
Recent publications
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Enhancement and validation of the antibiotic resistance prediction performance of a cloud-based genetics processing platform for Mycobacteria
Westhead J. et al, (2024)
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Correction to: 'Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations' (2022) by Dykes et al.
Dykes J. et al, (2022), Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 380
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FAIR data pipeline: provenance-driven data management for traceable scientific workflows.
Mitchell SN. et al, (2022), Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 380
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Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.
Dykes J. et al, (2022), Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 380
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Correlative Super-Resolution Optical and Atomic Force Microscopy Reveals Relationships Between Bacterial Cell Wall Architecture and Synthesis in Bacillus subtilis.
Tank RKG. et al, (2021), ACS nano, 15, 16011 - 16018