Jonathan is currently interested in the application of novel machine learning and causal inference techniques to solve climate critical problems. The main focus of his research is applying these techniques to Southern Ocean dynamics and circulation and their impact on the global climate system. He will be analysing the causal network structures derived from a variety of CMIP6 models and then comparing these to see how different models behave.

A Causal Inference Network of the Southern Ocean