Logist AI for environmentally aware decision support
AMOP is developing Artificial Intelligence methods that aim to optimise the efficiency of Antarctic field operations, while maximising science delivery
I am a Research Software Engineer (RSE) in the Digital Innovation Team. We are a team of RSEs developing software infrastructure that supports the long term sustainable delivery of impacts from digital projects at BAS.
Prior to joining BAS in February 2024, I worked as an Environmental Data Scientist and as a Spatial Data Analyst at the UK Centre for Ecology & Hydrology (UKCEH). I developed tools and processes for the automated processing and quality assurance of air quality and climate change datasets, mostly written in R. I was also part of the Informatics Liaison Network and the Environmental Information Data Centre, where I promoted best practices in data stewardship and helped researchers make their data or software Findable, Accessible, Interoperable, and Reusable (FAIR).
Before joining UKCEH I graduated with a BSc in Ecological & Environmental Sciences from the University of Edinburgh. I wrote my dissertation on vegetation change impact on Arctic land-atmosphere interactions and snowmelt, using a Weather Research and Forecasting model.
FAIR Data and Research Software
Sensor to Publication Data Processing Pipelines
Environmental Forecasting
Digital Twins
Low Power, Low Bandwith Sensor Networks
Adaptive Sampling
AMOP is developing Artificial Intelligence methods that aim to optimise the efficiency of Antarctic field operations, while maximising science delivery