Very short biography
Massimiliano Pontil is Professor and EPSRC Advanced Research Fellow in the Department of Computer Science at University College London. His research interests are in the areas of machine learning with a focus on regularization methods, convex optimization and statistical estimation. He received the equivalent of an MSc and a PhD in Physics from the University of Genova in 1994 and 1999, respectively.
Massimiliano Pontil is Professor and EPSRC Advanced Research Fellow in the Department of Computer Science at University College London (UCL). He joined UCL in 2003. He received the equivalent of an MSc and a PhD in Physics from the University of Genova in 1994 and 1999 respectively. Previously, he has been a Research Associate in the Department of Information Engineering at University of Siena in 2001 and 2002, a Research Fellow at City University of Hong Kong in Fall 2000 and Spring 2001, and a Post-doctoral Fellow in the Center for Biological and Computational Learning at the Massachusetts Institute of Technology in 1999 and 2000. His research interests are in the areas of machine learning and pattern recognition, with a focus on regularization methods, convex optimization and statistical estimation.
Massimiliano Pontil received an MSc degree in Physics from the University of Genova in 1994 (summa cum laude) and a PhD in Physics from the same University in 1999. He spent approximately half of the PhD studies at the Massachusetts Institute of Technology (MIT) as a Visiting Researcher. Massimiliano is Professor and EPSRC Advanced Research Fellow in the Department of Computer Science at University College London (UCL). At UCL he has also been a Lecturer, between January 2003 and September 2006, and a Reader between October 2006 and September 2010. Before joining UCL, Massimiliano was a Research Associate in the Department of Information Engineering at University of Siena (2001--2002) and a Post-doctoral Fellow in the Center for Biological and Computational Learning at the Massachusetts Institute of Technology (MIT) (1998--2000). 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 areas 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 COLT (2005, 2006, 2008, 2009, 2010) and ICML (2004, 2009) and he is an Associate Editor of the Machine Learning Journal, Statistics and Computing and Action Editor for the Journal of Machine Learning Research.
More information concerning Massimiliano Pontil's research interests and accomplishments can be found at the Website http://www.cs.ucl.ac.uk/staff/M.Pontil/