John Shawe-Taylor

John Shawe-Taylor
Born	1953 (age 70–71) 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
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.

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 attended Shrewsbury School and graduated from the University of Ljubljana, Slovenia.

External links

• Professional homepage