My work currently focuses on applications of AI to climate. A substantial focus recently has been on AI for the cryosphere - including the developing of emulators of physical proceses from both model and observational data of sea ice thermodynamical processes, and coupling them to sea ice models (such a processes involved in melt ponds, snow on sea ice). I have an interest in observational data in the Arctic - the quality and how it can be used for AI studies, including multi-modal approaches.

I have conducted research on the performance of AI weather forecasting models in simulating storms, both in case studies and more systematic studies, as well as the verification of AI forecasting models. Other research ongoing research involves building AI forecasting models, optimal sensor placement and African/Asian meteorology and AI. Thus my research is broadly across AI/ML for climate. I have also published on AI for medicine, and environmental impacts. Before interest in AI I researched how the atmosphere responds to aerosols, as well as stratosphere-troposphere coupling and dynamical responses to aerosols.