I am interested in the profound impacts of climate change on polar glaciers and ice sheets. I use deep learning and Bayesian statistical models with extensive satellite remote sensing data to study glacier dynamics in the polar regions. My current research focuses on the calving processes of marine-terminating glaciers in the Arctic.

I completed my PhD at the Bristol Glaciology Centre, where I studied the grounding zone dynamics of the Antarctic Ice Sheet using NASA's ICESat-2 satellite laser altimetry data. During my PhD, I developed novel methodologies for mapping the Antarctic grounding zone, leading to the creation of the first ICESat-2-derived Antarctic Ice Sheet grounding zone data product. This dataset was published by the NASA National Snow and Ice Data Center, and revealed significant retreats in the grounding lines of Moscow University and Totten Glacier ice shelves in East Antarctica over the past two decades. This research contributes to a better understanding of East Antarctic Ice Sheet instability and its potential implications for future sea-level rise.

My work is also driven by a passion for applying deep learning techniques to polar glaciology. In 2022, I received a PGR seed-corn research grant from the Jean-Golding Institute on using deep learning to map the grounding zone with ICESat-2 data. In 2023, I was a Visiting Research Fellow at the AI4EO Future Lab of the Technical University of Munich, where I collaborated on projects at the intersection of AI and Earth Observation.