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Department of Applied Mathematics and Theoretical Physics

Ira is studying for a PhD, under the supervision of Professor Peter Haynes FRS and Professor Rich Kerswell FRS, as part of the Atmosphere-Ocean Dynamics group and as part of the UKRI Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks.


Ira's research is currently focused on using Machine Learning to determine the predictive nature of fluid flows, specifically investigating the Beta-Plane System - an idealised model analogous to the tropospheric mid-latitudinal regions of our atmosphere, that govern jet streams.

Machine Learning is being used to learn the dynamics of the system in order to produce a forecast or long-term emulation that is able to dramatically reduce the associated computational cost when compared to numerical integration. We explore obtaining this Reduced Order Model by utilising the inertial manifold that the system lies on with machine learning, however the Beta-Plane System is a stochastically forced system with a non-stationary manifold, so variational methods will be applied - more information can be found here