Christopher Bishop

Christopher Bishop
Born April 7, 1959[1]
Residence Cambridge, UK
Fields Machine learning
Neural networks
Pattern recognition
Natural language processing
Institutions University of Oxford
Culham Centre for Fusion Energy
AEA Technology
Aston University
University of Edinburgh
Microsoft Research
Royal Institution
Alma mater St Catherine's College, Oxford
University of Edinburgh
Thesis The semi-classical technique in field theory: some applications (1983)
Doctoral advisor David Wallace
Peter Higgs[2]
Doctoral students Neil Lawrence[3]
Known for Royal Institution Christmas Lectures (2008)[4]
Notable awards Fellow of the Royal Academy of Engineering (2004)
Fellow of the Royal Society of Edinburgh (2007)
Website
research.microsoft.com/~cmbishop

Christopher Michael Bishop (born 7 April 1959) FREng, FRSE, is a Distinguished Scientist at Microsoft Research Ltd in Cambridge where he leads the Machine Learning and Perception group. He also holds a Chair of Computer Science at the University of Edinburgh.

Education

Bishop was educated at Earlham School in Norwich then went to study for a Bachelor of Arts degree in Physics at St Catherine's College, Oxford, graduating in 1980. He then went on to the University of Edinburgh for a PhD in Theoretical Physics supervised by Peter Higgs and David Wallace.[2][5]

Research

Bishops research interests include machine learning,[6] neural networks, pattern recognition[7] and natural language processing and their applications.[8][9][10][11][12][13]

Career

Bishop was a research scientist at the Culham Centre for Fusion Energy from 1983 to 1993[1] and a Professor of Computer Science at Aston University from 1993 to 1997.[1] He has been a Professor at Edinburgh since 1997.

References

  1. ↑ 1.0 1.1 1.2 "‘BISHOP, Prof. Christopher Michael’, Who's Who 2013, A & C Black, an imprint of Bloomsbury Publishing plc, 2013; online edn, Oxford University Press".(subscription required)
  2. ↑ 2.0 2.1 Christopher Bishop at the Mathematics Genealogy Project
  3. ↑ Lawrence, Neil (2001). Variational inference in probabilistic models (PhD thesis). University of Cambridge.
  4. ↑ "Christmas Lectures 2008 - Hi-tech Trek by Christopher Bishop".
  5. ↑ Bishop, Christohper (1983). The semi-classical technique in field theory: some applications (PhD thesis). University of Edinburgh.
  6. ↑ Bishop, Christopher (2006). Pattern recognition and machine learning. Berlin: Springer. ISBN 0-387-31073-8.
  7. ↑ Bishop, Christopher (1995). Neural networks for pattern recognition. Oxford: Clarendon Press. ISBN 0-19-853864-2.
  8. ↑ List of publications from Microsoft Academic Search
  9. ↑ http://scholar.google.com/scholar?q=christopher+bishop
  10. ↑ Christopher Bishop's publications indexed by the DBLP Bibliography Server at the University of Trier
  11. ↑ Tipping, M. E.; Bishop, C. M. (1999). "Probabilistic Principal Component Analysis" (PDF). Journal of the Royal Statistical Society: Series B (Statistical Methodology) 61 (3): 611. doi:10.1111/1467-9868.00196.
  12. ↑ Bishop, C. M.; Svensén, M.; Williams, C. K. I. (1998). "GTM: The Generative Topographic Mapping" (PDF). Neural Computation 10: 215. doi:10.1162/089976698300017953.
  13. ↑ Tipping, M. E.; Bishop, C. M. (1999). "Mixtures of Probabilistic Principal Component Analyzers" (PDF). Neural Computation 11 (2): 443–482. doi:10.1162/089976699300016728. PMID 9950739.

External links