My research group primarily investigates novel approaches to retrieve information from satellite data for improved estimation of cryospheric parameters, such as ice concentration. We have been looking into both physically based approaches, for example using radiative transfer models, and data-driven approaches, such as convolutional neural networks. Our retrievals primarily utilize passive and active microwave data, and are carried out with a vision for use in ice operations, such as data assimilation. I am also interested in multi-scale, physical systems and data-driven approaches that maintain the fidelity of the physical system. 

Open Positions (2022) Please contact me if you are interested

MASc/PhD positions are available on sea ice forecasting using convolutional neural networks and sequence to sequence learning

MASc posiiton is available on retrieval of lake ice properties using physically motivated machine learning methods