Role in NEODAAS
Katie works as a Data Scientist within NEODAAS applying AI and ML techniques to Earth Observation data to support new environmental intelligence applications.
Katie originally studied Computer Science (BSc) before undertaking a PhD in remote sensing with a focus on time series analysis. Her research has mainly involved the study of long-term change in coastal ecosystems, particularly mangrove forests. Katie is currently working on applying and developing new deep learning techniques for analysis of remote sensing imagery.
Her areas of expertise are time series analysis, change detection, machine learning, large-scale data processing, and research software development.