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Jorge Castañón received his Ph.D. in Computational and Applied Mathematics from Rice University. He has a genuine passion for data science and machine learning applications of any kind, especially practical customer related problems. Since 2007, he is been developing numerical optimization models and algorithms for machine learning and regularized inverse problems. At IBM, Jorge is part of the Watson Studio team at Silicon Valley Laboratory where he is building the future of machine learning and cognitive tools.