My research interests include machine learning, neural networks, and relational learning. Currently, he is focused on the practical application of deep learning (recurrent and convolutional neural networks), and machine learning applications on transportation data. Sebastián has more than 30 papers among the most important conferences in computer science and JCR journals. He has also participated as program committee in more than 40 conference including the most important conferences of his area such as NeurIPS, KDD, WWW, and ICDM.
PhD in computer science, 2014
Purdue University, USA.
Master of Science in Computer Science concentration Statistics, 2011
Purdue University, USA.
Magíster en Ciencias de la Ingeniería Informática, 2007
Universidad Técnica Federico Santa Maria, Chile
Ingeniero Civil Informático, 2007
Universidad Técnica Federico Santa Maria, Chile