Miss Elizabeth Galloway

I am a Postdoctoral Research Fellow in Environmental Intelligence interested in the application of Data Science and Machine Learning (ML) techniques to environmental challenges. I am particularly interested in natural hazards and risk research and the importance of effective communication and cross-disciplinary collaboration in this space.

My PhD focused on the application of ML for predicting the impacts of Tropical Cyclones in the Philippines. I developed a pipeline for building an interpretable impact-based forecasting model for cyclone-induced housing damage. My project involved curating an impact dataset used to build a predictive ML model and integrating uncertainty and feature importance analysis to increase the value of predictions.

In my current role, I collaborate with partners to address specific challenges using Data Science and ML techniques for various environmental applications, including flood risk, use of green space, and nature and biodiversity restoration. I work with a range of geospatial datasets across my projects, but I am always interested in developing approaches to improve the visualisation and communication of valuable sources of data for a range of audiences.