Holly Hourston is an Earth observation scientist in the Geodesy and Remote Sensing group within the Multi-hazards and Resilience challenge area. Her early academic career varied across modelling future gravitational wave observations using Bayesian inference, to studying the organic chemistry of meteorites through techniques including GC-MS and X-ray CT. In her role at BGS, she analyses Interferometric Synthetic Aperture Radar (InSAR) data to study ground deformations due to various geological influences, and is developing machine learning algorithms and statistical approaches to automate geological interpretations of InSAR data. She has other scientific interests in planetary science, hazard monitoring and understanding cascading hazards in vulnerable locations.
- 2022 to 2024: MSc (by Research) Geology, University of Glasgow
- 2022 to 2023: Lab demonstrator, School of Geographical & Earth Sciences, University of Glasgow
- 2017 to 2022: MSci Astronomy & Physics, University of Glasgow
Research interests
- Carbon capture and storage
- Ground deformation monitoring using InSAR
- Cascading mutli-hazard interactions
- Quantifying the extent of geological influencers on ground deformation
ORCID: 0009-0003-7195-4266
- Bayesian statistics
- Python programming
- Statistical analysis
- Public engagement
- Committee member of the Geological Remote Sensing Group (the Geological Society of London & the Remote Sensing and Photogrammetry Society)
- Member of the Scottish Alliance for Geoscience, Environment and Society