Jorge F Silva received a B.Sc. and engineering degree from the University of Chile (1996–2002) and a Master of Science in Electrical Engineering from the University of Southern California (USC) (2003–2005). He is an IEEE member of the Signal Processing and Information Theory Societies, and he is actively involved as a reviewer in the IEEE journals and conferences on Signal Processing. He is the recipient of the Viterbi Doctoral Fellowship 2007–2008 and the Simon Ramo Scholarship 2007–2008 at USC. He holds an academic position at the Electrical Engineering Department, Universidad de Chile, Chile. His general research interest is to understand the role of Information Theory—information quantities, problem formulations, and theoretical results—in Signal Processing problems with a particular focus on Estimation and Detection. He is currently interested in analyzing some connections between learning and information theory; learning and universal source coding; and sparsity, invariance, and other statistical structures that can be learned–detected from the data, as well as understanding the generalization capacity of complex learning algorithms.