Personal webpage

I work at the intersection of artificial intelligence and Earth system science, exploring a range of dynamical and predictability questions at the interfaces of observations, numerical, and statistical models. I also serve as Scientific Coordinator for the ECMWF Machine Learning Training Program under the DestinE initiative, contributing to international efforts in AI-driven Earth system modeling.
My research focuses on developing physically consistent and interpretable AI models to better understand atmospheric processes across scales. In particular, I work on representation learning and generative modeling using satellite observations and km-scale numerical simulations. More broadly, my goal is to bridge the gap between predictive skill and scientific understanding, enabling trustworthy AI for weather forecasting and climate-scale applications.