Centre for Computational Statistics and Machine Learning
University College London
His main research area is Statistical Learning Theory, but his contributions range from Neural Networks, to Machine Learning, to Graph Theory. He has coordinated a number of European wide projects investigating the theory and practice of Machine Learning, including the NeuroCOLT projects. He was the scientific coordinator of a Framework 7 Network of Excellence in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2) involving over 50 partners. He is co-author of two highly cited books on kernel methods and support vector machines. He is author of over 300 papers.