Lorenzo Rosasco is an assistant professor at the University of Genova, Italy. He is also affiliated with the Massachusetts Institute of Technology (MIT), where is a visiting professor, and with the Istituto Italiano di Tecnologia (IIT), where he is an external collaborator. He is leading the efforts to establish the Laboratory for Computational and Statistical Learning (LCSL), born from a collaborative agreement between IIT and MIT. He received his PhD from the University of Genova in 2006 where he worked under the supervision of Alessandro Verri and Ernesto De Vito in the SLIPGURU. During his PhD he has been visiting student at the Toyota Technological Institute at Chicago (working with Steve Smale) and at the Center for Biological and Computational Learning (CBCL) at MIT-- working with Tomaso Poggio. Between 2006 and 2009 he was a postdoctoral fellow at CBCL working with Tomaso Poggio. His research focuses on studying theory and algorithms for machine 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 but also from statistics, engineering and applied mathematics.
See here for more information about research interests and current projects.