I'm interested in any aspect of machine learning for big data applications. Particular focus is given on sparse models (compressed sensing) and on the effects of constraints on computational complexity and communication requirements of the implemented learning algorithms. Recent work considers the fundamental limits of and practical methods for dictionary learning and graphical model selection for high-dimensional processes.