His research interests span Generative Modelling, Differential Geometry for Machine Learning, Adversarial Attacks and Graph Representation Learning with a current emphasis on understanding symmetries, equivariances and invariances in data.
His work has been featuredForbes, CBC, VentureBeat and other media outlets and is generously supported by the IVADO PhD Fellowship.