91̽»¨

I am a postdoctoral fellow at the 91̽»¨, with a broad interest in the use of artificial intelligence (AI)/machine learning (ML) and Bayesian statistics for climate change projections. Specifically, I work on using AI models for subgrid-scale processes, such as convection and atmospheric gravity waves, within global climate models. I am particularly interested in quantifying uncertainties associated with AI subgrid-scale parameterisations. I previously worked on calibration and uncertainty quantification of physics-based parameterisations.