Edwin is a senior research software engineer in the Research Software Engineering (RSE) team at the University of Sheffield. His research focuses on agentic software engineering and machine learning in a variety domains such as energy modelling, metascience and robotics. He is particularly interested in the practical challenges of harnessing agentic methods for research.
Edwin’s current projects include:
Paying it Forward: This project aims to understand how research outputs are changing in the age of AI. Specficially, is the amount of data and software being created or used changing? This is a collaboration between the universities of Sheffield, Surrey, UCL and CrewCreate. It is funded by the UKRI Metascience Unit. Edwin is a Co-Investigator on this project.
ReproScore: The project will assess existing metrics of computational reproducibility, and explore the possibility of semi-automatic evaluation of research outputs using these metrics. In other words, given a paper, can the results be reproduced automatically? Funded by the UKRI Metascience Unit. Edwin is the principal investigator on this project.
Human-AI Teaming for Chemistry (HATCH): This project works on developing collaborative human-robotic framework for chemistry research. A collaboration between the universities of Sheffield, York and Liverpool. Funded by aichemy.
Mass mobility data for demand forecasts: This project seeks to utilise mass mobility data (anonymised telematics vehicle monitoring data) to generate new features for electricity demand forecasting models. It will investigate potential features of value supporting electricity demand estimation and will use historical data to correlate and evidence potential predictive value from said features. Collaboration between the University of Sheffield and the National Energy Systems Operator (NESO) and The Floow. Edwin is a Co-Investigator on this project.
Edwin joined the RSE team in October 2022. He comes from a background in geophysics following a BSc and MSc in Geophysical Sciences at the University of Leeds. After university, he worked in the private sector, developing machine learning (ML) workflows to solve geophysical imaging and inversion problems.
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