Dr Andre Meijers
I lead the open oceans group at the British Antarctic Survey, and personally spend a lot of time analysing the dynamics that emerge from coupled climate models. In particular I am interested in understanding the coupling between the ocean overturning circulation and the atmosphere, the primary interface of which occurs in the Southern Ocean around Antarctica. Examining dozens of variables across hundreds of years of simulated data in 50+ disparate climate models is obviously a big data problem, but one that has not yet tapped machine learning techniques in a particularly rigorous manner. I would like to apply machine learning to this problem in order to uncover dynamical relationships between variables and processes within these models in order to assist in developing robust climate projections.