John Shawe-Taylor

John Shawe-Taylor
Born	1953 (age 65–66) Cheltenham
Alma mater	Imperial College London Royal Holloway, University of London
Known for	textbooks on statistical learning theory and support vector machines
Scientific career
Fields	Computer science, Statistics
Institutions	University of Southampton University College London
Thesis	Regularity and Transitivity in Graphs (1985)
Doctoral advisor	Norman L. Biggs
Other academic advisors	Tomaž Pisanski
Website	www0.cs.ucl.ac.uk/staff/j.shawe-taylor/

John Stewart Shawe-Taylor (born 1953) is Director of the Centre for Computational Statistics and Machine Learning at University College, London (UK). His main research area is statistical learning theory. He has contributed to a number of fields ranging from graph theory through cryptography to statistical learning theory and its applications. However, his main contributions have been in the development of the analysis and subsequent algorithmic definition of principled machine learning algorithms founded in statistical learning theory. This work has helped to drive a fundamental rebirth in the field of machine learning with the introduction of kernel methods and support vector machines, including the mapping of these approaches onto novel domains including work in computer vision, document classification and brain scan analysis. More recently he has worked on interactive learning and reinforcement learning. He has also been instrumental in assembling a series of influential European Networks of Excellence (initially the NeuroCOLT projects and later the PASCAL networks). The scientific coordination of these projects has influenced a generation of researchers and promoted the widespread uptake of machine learning in both science and industry that we are currently witnessing. He has published over 300 papers with over 42000 citations. Two books co-authored with Nello Cristianini have become standard monographs for the study of kernel methods and support vector machines and together have attracted 21000 citations. He is Head of the Computer Science Department at University College London, where he has overseen a significant expansion and witnessed its emergence as the highest ranked Computer Science Department in the UK in the 2014 UK Research Evaluation Framework (REF).

Publications

He has written with Nello Cristianini two books on the theory of support vector machines and kernel methods:

1. An introduction to support vector machines N.C. and J. S.T. Cambridge University Press, 2000.
2. Kernel methods for pattern analysis J. S.T and N.C. Cambridge University Press, 2004.

He has published research in neural networks, machine learning, and graph theory.

Schooling

He was educated at Shrewsbury and graduated from the University of Ljubljana, Slovenia.

External links

• Professional homepage