Nello Cristianini is a Professor of Artificial Intelligence at the University of Bristol, where he focuses on the interface between big data and artificial intelligence.
His areas of research include machine learning, natural language processing, machine translation, computer vision. Cristianini’s current work includes the large-scale analysis of historical newspapers, modern news, social media content and images. Previous work included also applications to bioinformatics and machine translation, as well as having contributed extensively to the field of Support Vector Machines and Kernel Methods. 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).
Before the appointment to Bristol, Nello 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. He has been awarded a Royal Society Wolfson Merit Award and an ERC Advanced Grant (ThinkBIG).
Artificial Intelligence, Machine Learning, Media Content Analysis, Big Data, Epistemological and Ethical Implications of Data-Driven Science and Society