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Christopher Michael Bishop (born 7 April 1959)[1] FRS FRSE FREng[5] is the Laboratory Director at Microsoft Research Cambridge, Professor of Computer Science at the University of Edinburgh and a Fellow of Darwin College, Cambridge.[6]

Chris Bishop
FRS FRSE FREng
Chris Bishop June 2015 Image 3 - SMALLER.jpg
Chris Bishop in 2015
Born Christopher Michael Bishop
(1959-04-07) 7 April 1959 (age 59)[1]
Norwich[1]
Residence Cambridge
Alma mater
Known for Pattern Recognition and Machine Learning (PRML) book
Awards
Scientific career
Fields Machine learning[3]
Institutions
Thesis The semi-classical technique in field theory: some applications (1983)
Doctoral advisor David Wallace[4]
Website research.microsoft.com/~cmbishop

Contents

EducationEdit

Chris obtained a Bachelor of Arts degree in Physics from St Catherine's College, Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory supervised by David Wallace.[4][1]

Research and careerEdit

Bishop’s research investigates machine learning[5] by allowing computers to learn from data and experience.[6][7][8] His doctoral students include Neil Lawrence.[9][10]

Awards and honoursEdit

 
Chris Bishop at the Royal Society admissions day in London, July 2017

Bishop was awarded the Tam Dalyell prize in 2009[11] and the Rooke Medal from the Royal Academy of Engineering in 2011.[12] He gave the Royal Institution Christmas Lectures in 2008[2] and the Turing Lecture in 2010. Bishop was elected a Fellow of the Royal Academy of Engineering (FREng) in 2004[13], a Fellow of the Royal Society of Edinburgh (FRSE) in 2007[14], and Fellow of the Royal Society (FRS) in 2017.[5]

ReferencesEdit

  1. ^ a b c d Anon (2015). BISHOP, Prof. Christopher Michael. ukwhoswho.com. Who's Who (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. doi:10.1093/ww/9780199540884.013.249776.    (subscription required)
  2. ^ a b 2008 Royal Institution Christmas Lectures
  3. ^ Christopher Bishop publications indexed by Google Scholar  
  4. ^ a b Bishop, Christopher Michael (1983). The semi-classical technique in field theory : some applications. lib.ed.ac.uk (PhD thesis). University of Edinburgh. hdl:1842/11984. OCLC 59284998. EThOS uk.bl.ethos.346542.   
  5. ^ a b c Anon (2017). "Christopher Bishop". royalsociety.org. London: Royal Society. 
  6. ^ a b "Microsoft Research Cambridge". 
  7. ^ Bishop, Christopher Michael (1995). Neural Networks for Pattern Recognition. Oxford University Press. ISBN 9780198538646. 
  8. ^ Tipping, Michael E.; Bishop, Christopher M. (1999). "Probabilistic Principal Component Analysis". Journal of the Royal Statistical Society, Series B. 61 (3): 611–622. doi:10.1111/1467-9868.00196. ISSN 1369-7412. 
  9. ^ Lawrence, Neil (2001). Variational inference in probabilistic models (PhD thesis). University of Cambridge. 
  10. ^ Christopher Bishop at the Mathematics Genealogy Project
  11. ^ Tam Dalyell Prize
  12. ^ Royal Academy of Engineering, Rooke Medal
  13. ^ "Royal Academy of Engineering". Retrieved 1 February 2018. 
  14. ^ "Professor Christopher M Bishop FREng FRSE, FRS - The Royal Society of Edinburgh". The Royal Society of Edinburgh. Retrieved 2018-02-01.