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My research is related to machine learning, in particular in connection with robust learning (label noise), fast methods (big data), probabilistic methods, classification, density estimation and feature selection. I'm open to collaboration and enjoy working on new subjects. For example, I've had the opportunity to work on biomedical data (electrocardiogram analysis) and geographical data (city clustering based on buildings).