Computing That Serves

Automatic Pattern Analysis: Towards A Unified Foundation


Thursday, November 17, 2005 - 10:00am


Nello Cristianini, Associate Professor of Statistics at University of California, Davis

Automatic pattern analysis of data is a pillar of modern science, technology and business, with deep roots in statistics, machine learning, pattern recognition, theoretical computer science, and many other fields. A unified conceptual understanding of this strategic field is of utmost importance for researchers as well as for users of this technology. This talk will discuss the possibility of a common unified foundation to pattern analyis.


Nello Cristianini is Associate Professor in the Department of Statistics at the University of California, Davis. In the past few years, he has also been Visiting Lecturer and Visiting Researcher at UC Berkeley, and postdoc Research Assistant at the University of London, Royal Holloway College. Nello is also action editor of the Journal of Machine Learning Research (JMLR) and member of the editorial board of

Nello's main research interest is in the design and analysis of machine learning algorithms, and their application to problems ranging from bioinformatics to text categorization. He is best known as the co-author of the books "An Introduction to Support Vector Machines" and "Kernel Methods for Pattern Analysis" with John Shawe-Taylor. Nello obtained his PhD from the University of Bristol in 2000.