Massimiliano Pontil received an MSc degree in Physics from the University of Genova in 1994 and a PhD in Physics from the same University in 1999. He is Professor in the Department of Computer Science at University College London (UCL). Before joining UCL, he was a Research Associate in the Department of Information Engineering at University of Siena and a Post-doctoral Fellow in the Center for Biological and Computational Learning at the Massachusetts Institute of Technology (MIT). He has also been a Visiting Fellow at the Isaac Newton Institute for Mathematical Sciences in Cambridge, at the Catholic University of Leuven, at the University of Chicago and at the City University of Hong Kong, among others. His research interests are in the area of machine learning and pattern recognition, with a focus on regularization methods, convex optimization and statistical estimation. He also studied machine learning applications arising in Computational Vision, Natural Language Processing and Bioinformatics.
He has published about hundred papers in the above research areas, has been on the programme committee of the main machine learning conferences, including the Computational Learning Theory Conference and the International Conference on Machine Learning, and is an Associate Editor of the Machine Learning Journal.