Machine Learning and Artificial Intelligence

My current research interests roughly lie on the intersection of machine learning, representation learning, and AI applications in healthcare. More specifically, I am interested in (1) the design of learning algorithms that are able to construct explanations for their predictions in terms of high-level concepts and (2) the broad applications that said algorithms may have in scenarios where transparency is not an option (such as in healthcare) and on-site human feedback may be available.

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Mark Gotham (personal website) specialises in computational methods for music theory, analysis, and composition.