Holly Hourston is a remote sensing 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 in laboratory settings. 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 – ongoing: MSc (by Research) Geology, University of Glasgow
- 2022 – 2023: Lab demonstrator, School of Geographical & Earth Sciences, University of Glasgow
- 2017 – 2022: MSci Astronomy & Physics, University of Glasgow
Research interests
- 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
- Member of the Scottish Alliance for Geoscience, Environment and Society
- Member of The Meteoritical Society
- Member of the Geological Remote Sensing Group (the Geological Society of London & the Remote Sensing and Photogrammetry Society)