Lorenzo Rosasco is team leader at the Istituto Italiano di Tecnologia (IIT) and research scientist at the Massachusetts Institute of Technology (MIT). He holds an assistant professor position at the Computer Science Department of the University of Genova, Italy, from which is on leave of absence. He is currently involved in establishing the Computational and Statistical Learning Laboratory, a joint laboratory based on a collaborative agreement between IIT and MIT. He received his PhD from the University of Genova in 2006. Between 2006 and 2009 he was a postdoctoral fellow at Center for Biological and Computational Learning at the Massachusetts Institute of Technology. His research focuses on studying theory and algorithms for computational learning. Dr. Rosasco has developed and analyzed methods to learn from small as well as large samples of high dimensional data, using analytical and probabilistic tools, within a multidisciplinary approach drawing concepts and techniques primarily from computer science and but also from physics, engineering and applied mathematics.
His research focuses on studying theory and algorithms for computational learning. Currently his theoretical interests include 1) foundations and algorithms for learning data representation; 2) learning and exploiting structure; 3) dynamic learning and large scale computations. The theory and algorithms developed are currently applied on large scale visual classification tasks and to develop novel cognitive systems for humanoid robotics.