My research: The focus of my project is the application of Machine Learning (ML) algorithms to predict and understand geophysical processes.

Current work: My ongoing case study is the desertification of semiarid hillslope ecosystems, in which I have applied different ML algorithms to simulate the aggregate behaviour of vegetation and soil, using data from spatially detailed simulation models. The results outperform previously used expert-based models, enabling an evidence-based analysis of the desertification mechanisms.

Future plans: The continuation of my work will involve applying ML algorithms to other case studies, such as snow water equivalent prediction in mountainous areas.