My research group primarily investigates novel approaches to extract information from high dimensional data from either models, satellites or unmanned aerial vehicles. We have been looking into both physically based approaches, for example using radiative transfer models or computational fluid dynamics, and data-driven approaches, such as convolutional neural networks and sequence-to-sequence learning. I am also interested in multi-scale, physical systems and data-driven approaches that maintain the fidelity of the physical system. 

Open Positions (2023) Please contact me if you are interested

MASc/PhD positions are available on data driven approaches for spatial-temporal problems

Multidisciplinary graduate positions on ocean data mobilization and technology also available as part of Prodigy