In my research I work collaboratively between the School of Computing and the School of Earth and Environment to develop applications of AI and machine learning techniques to Earth observation glaciology. By applying these methods to synthetic aperture radar and other satellite datasets I aim to improve measurements of ice velocity and mass balance, informing predictions of sea-level rises and the climate impact of a changing cryosphere.
I graduated in 2017 with MPhys Physics from the University of Oxford, where I specialised in Atmospheric, Ocean and Planetary Physics. Prior to commencing my PhD I worked for three years in the S&T sector, primarily working on maritime science and remote sensing.
- Earth Observation
- AI, Machine Learning and Data Science
- The Cryosphere
- Mass Balance and Ice Velocity
- Syntheic Aperture Radar
- MPhys, Physics, University of Oxford