Theory and applications of Pattern Analysis algorithms. Applied to problems in Genomics, Web Analysis, Machine Intelligence. --After spending many years developing tools for the automatic discovery of patterns in data, and for enabling computer systems to learn from experience, my group is now focused on pushing the envelope in two core directions: detection of patterns in genomic data; detection of patterns in media content, with implications for web-based intelligence.
Nello Cristianini is a Professor of Artificial Intelligence at the University of Bristol since March 2006, and a recipient of both a ERC Advanced Grant, and of a Royal Society Wolfson Merit Award. He has wide research interests in the areas of data science, artificial intelligence, machine learning, and applications to computational social sciences, digital humanities, news content analysis.
He has contributed extensively to the field of statistical AI. Before the appointment to Bristol he has held faculty positions at the University of California, Davis, and visiting positions at the University of California, Berkeley, and in many other institutions. Before that he was a research assistant at Royal Holloway, University of London. He has also covered industrial positions. He has a PhD from the University of Bristol, a MSc from Royal Holloway, University of London, and a Degree in Physics from University of Trieste. Since 2001 has been Action Editor of the Journal of Machine Learning Research (JMLR), and since 2005 also Associate Editor of the Journal of Artificial Intelligence Research (JAIR). He is co-author of the books 'An Introduction to Support Vector Machines' and 'Kernel Methods for Pattern Analysis' with John Shawe-Taylor, and "Introduction to Computational Genomics" with Matt Hahn (all published by Cambridge University Press).
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