John Shawe-Taylor
John Shawe-Taylor is a researcher in statistical learning theory, with contributions to neural networks, machine learning and graph theory. He earned a mathematics doctorate at Royal Holloway in 1986 and became a professor of computing science in 1996. With Nello Cristianini, he wrote books on support vector machines and kernel methods. He moved to Southampton in 2003 and took leadership of UCL’s Centre for Computational Statistics and Machine Learning in 2006. He coordinated European research through NeuroCOLT and PASCAL.
- Works
- 604
- Citations
- 61,642
- h-index
- 73
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1986–1996
Mathematics and computing
Shawe-Taylor earned a mathematics doctorate at Royal Holloway in 1986. He later earned a master’s degree at Imperial in the foundations of advanced information technology and was promoted to professor of computing science in 1996.
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2000
Explain support vector machines
With Nello Cristianini, he coauthored An Introduction to Support Vector Machines. The 2000 book connects mathematical analysis in learning theory with a practical classification method.
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2003–2004
Pattern analysis through kernels
He moved to Southampton in 2003 to lead the ISIS research group. His 2004 book with Cristianini presents kernel-based pattern analysis, including algorithms for classification, regression and other relations in data such as text and strings.
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2006
Coordinate machine learning research
He became director of a UCL center in July 2006. He also coordinated European projects, including NeuroCOLT and the PASCAL network, which linked research on learning theory with its practice.
Sources and credits
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