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My research is focused on machine learning problems with geometric flavor. The symbiosis between data-driven and model-driven methods opens up new and exciting possibilities to overcome limitations in the new era of machine learning.  The data we consume have a unique structure which we can further exploit in learning paradigm used, for example, in computer vision, medical imaging and robotics.

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