I undertook my BSc (Hons) at Royal Holloway, University of London in Digital Geosciences. My final year dissertation was titled: ‘A new method of semi-automated core quality classification: via image processing of digital 2D core images’. After this research, I became interested in computational techniques to enhance the information we obtain from geological data. During my second year I was honoured to complete a research placement with the Environment Agency. Where I utilised statistical analysis to quantify the relationship between groundwater borehole data and surface river flow state reports. I then used the results to produce a successful predictive computational model of annual ephemeral extent of the River Pang accompanied by a well-received project report.
I completed my MSc at Royal Holloway, University of London in Energy Geosciences. My independent project involved the enviro-economic assessment of using deep chalk groundwater and subterranean river water to cool the London Underground tunnels. Published in the journal: Sustainable Cities and Society, available here. Notably, I undertook an ArcGIS assessment of regional groundwater level and drainage data, finite difference groundwater modelling in Modflow, discharge estimation via fieldwork (e.g., sensor emplacement), discharge to energy conversion and economic evaluation. After this project, I became keen to continue research focussed on subsurface modelling and evaluation for geo-resources, particularly methods of harnessing natural systems to assist in developing clean growth in our society.