I am a postdoctoral fellow at UiB.

Research Interests

Deep Learning Explainable AI Heavy Rainfall Large-Scale Atmospheric Dynamics
Earth Energy Budget SST Pattern Effects Upwelling Dynamics in Tropical Coral Reefs Large-Scale Data Analysis Data Visualization

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.

News

• May 2026 - I presented my work on trying to assess the physical realism of neural networks at the European Geophysical Union General Assembly 2026 in Vienna Link to abstract heye.

• April 2026 - We kicked off the BCCR Training Programme for Machine Learning, teaching around 30 local researchers about machine learning, neural networks and how to use these into thei research LinkedIn post here.

• March 2026 - I was interviewed about my project for UiB-AI.

• January 2026 - Our proposal for the BCCR training programme in ML got funded! More to come later.

• January 2025 - Interview at the Bjerknes Centre for Climate Research