My current research focuses on explainable machine learning for midlatitude extreme rainfall dynamics. I investigate whether neural networks can capture physically interpretable processes, with the goal of improving understanding of high-impact climate events and increasing confidence in their use for future climate projections. I also study the Earth’s global energy budget and the SST pattern effect, as well as upwelling dynamics in tropical coral reef ecosystems.

Research Interests

Explainable machine learning for climate science; Midlatitude extreme rainfall dynamics; Earth’s global energy budget and the SST pattern effect; Upwelling dynamics in tropical coral reef ecosystems; Large-scale data analysis; Data visualisation

News

• Interview at the Bjerknes Centre for Climate Research - Bjerknes Centre for Climate Research