About me

I am a Research Software Engineer for Machine Learning at the University of Sheffield, where I provide support to researchers across a range of disciplines with machine learning applications. I am the programme manager for the FAIR^2 for research software training programme.

I began my career in web and software development, working for over a decade in various roles, before returning to academia to complete an MRes in population ecology and a PhD in conservation demography at the University of Sheffield. While studying for my PhD I became interested in how I could use my background in software development to help other researchers to improve their research software outputs by teaching them about commonly used tools and practices such as version control.

After completing my PhD in 2020, I joined the Centre for Environmental Modelling and Computation (CEMAC) at the University of Leeds as a Software Development Scientist, initially supporting the Global Challenges Research Fund African Science for Weather Information and Forecasting Techniques (GCRF African SWIFT) project. While at Leeds I worked on a range of projects including automated synoptic plotting for operational forecasting in Africa, visualisation of climate co-benefits, detection of biometeors using radar data, and the FASTA mobile app for near-real time weather forecasting (nowcasting) in Africa.

I have developed and led training in version control and reproducible research at the British Ecological Society Annual Meeting and for researchers at Oxford, Sheffield and Glasgow universities. I contributed to the BES publication ‘A Guide to Reproducible Code in Ecology and Evolution’. I have been a co-organiser of Sheffield R Users Group since 2017.