My broad research interest is the application of geographical information system (GIS), earth observation and machine learning techniques to environmental and human problems.
My current research focus is to apply machine learning techniques to geospatial data, be that wheat crop yields or the flow of ice over the land. Additional research activities are on-going in the fields of pesticide environmental fate modelling and geospatial intelligence tecnqiues.
My PhD focused on using the high resolution Swedish 'New National Height model' to examine how streamlined glacial landforms (drumlins) are influenced by the geology and geography over which they form. Using digitised geo-data, human mapping and a high resolution elevation model I used machine learning and artificial neural networks to examine the driving factors in the sub-glacial interface.