Biography:
I am a PhD student in ICAS (Institute for Climate and Atmospheric Science) working in the Satellite Ice Dynamics group with my supervisors Professor Anna Hogg and Dr. Trystan Surawy-Stepney. My research will involve utilising satellite observations, glaciology ice flow modelling, and machine learning to better understand changes to the Greenland ice sheet. I was inspired to enter cryosphere research as polar regions are some of the most sensitive to climate change. Large ice sheets are also a crucial part of the climate system, and it is incredibly valuable to measure and predict their evolution, to refine our understanding of how regional and global climates will change in the coming years.
Previously, I completed a 4-year integrated master’s degree in physics at the University of Oxford. My master’s project was focussed on developing computationally inexpensive machine learning methods for atmospheric modelling, and I was awarded the Gibbs Prize for best MPhys research project for this work. I’m excited to continue working with machine learning methods — now for ice sheets!
Outside of research, I (too) frequently change hobbies, but at the moment I’m spending any free time knitting, playing football or hiking!
Qualifications:
Master of Physics (MPhys) University of Oxford, 2025
Research Interests:
Earth Observation, Remote Sensing, Cryosphere, Machine Learning, Artificial Intelligence, Climate, Ice speed, SAR.
Project Title:
Ice speed & Artificial Intelligence (AI): Using satellite data and machine learning methods to detect change on the Greenland Ice Sheet.