I am interested in using large-scale satellite data and deep learning to understand how glaciers and ice sheets are changing under climate warming and to improve global sea-level predictions.

As a Leverhulme Early Career Fellow, I focus on resolving calving dynamics at the ice-ocean interface of marine-terminating glaciers across the Arctic. Prior to my fellowship, I worked on the EU Horizon 2020 project Arctic PASSION, where I contributed to building a pan-Arctic observing system for glacier mass loss, combining large-scale Earth Observation datasets with advanced Bayesian statistical methods and deep learning.

I obtained my PhD at the Bristol Glaciology Centre in December 2022, focusing on the grounding zone dynamics of the Antarctic Ice Sheet using NASA's ICESat-2 satellite laser altimetry. I developed novel algorithms for mapping the Antarctic grounding zone and produced the first ICESat-2-derived grounding zone data product, published by NASA's National Snow and Ice Data Center (NSIDC). This work revealed significant grounding line retreat at the Moscow University and Totten Glacier ice shelves in East Antarctica, with implications for East Antarctic Ice Sheet instability and future sea-level rise.

I currently serve as Principal Investigator on a Leverhulme Early Career Fellowship and a Royal Society International Exchanges Grant (2026–2027). Previously, I held a Beyond Research Fellowship at the AI4EO Future Lab at the Technical University of Munich (2023) and a Jean Golding Institute seed-corn grant (2022), supporting the development of AI methods for Earth Observation of polar glaciers.