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Christopher Michael Bishop (born 7 April 1959) FRS, FREng, FRSE, is the Laboratory Director at Microsoft Research Cambridge, Professor of Computer Science at the University of Edinburgh and a Fellow of Darwin College, Cambridge.[8][2]

Chris Bishop
Chris Bishop June 2015 Image 3 - SMALLER.jpg
Born Christopher Michael Bishop
(1959-04-07) 7 April 1959 (age 58)[1]
Residence Cambridge
Alma mater
Known for Pattern Recognition and Machine Learning (PRML) book[2]
Awards
Website research.microsoft.com/~cmbishop
Scientific career
Fields Machine learning[5]
Institutions
Thesis The semi-classical technique in field theory: some applications (1983)
Doctoral advisor David Wallace[6]
Doctoral students Neil Lawrence[7]

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.[6][1][8][9][10]

Awards and honoursEdit

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[3] and the Turing Lecture in 2010. Bishop was elected a Fellow of the Royal Academy of Engineering (FREng) in 2004[citation needed], a Fellow of the Royal Society of Edinburgh (FRSE) in 2007,[citation needed] and Fellow of the Royal Society (FRS) in 2017.[13]


ReferencesEdit

  1. ^ a b BISHOP, Prof. Christopher Michael. ukwhoswho.com. Who's Who. 2015 (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc.    (subscription required)
  2. ^ a b Bishop, Christopher M. (2006). Pattern Recognition and Machine Learning (PDF). Springer. ISBN 978-0-387-31073-2. 
  3. ^ a b Royal Institution Christmas Lectures
  4. ^ "Christopher Bishop". 2017. 
  5. ^ Christopher Bishop publications indexed by Google Scholar
  6. ^ a b Bishop, Christopher Michael (1983). The semi-classical technique in field theory : some applications. ethos.bl.uk (PhD thesis). University of Edinburgh. OCLC 59284998. hdl:1842/11984. 
  7. ^ Lawrence, Neil (2001). Variational inference in probabilistic models (PhD thesis). University of Cambridge. 
  8. ^ a b "Microsoft Research Cambridge". 
  9. ^ Bishop, Christopher Michael (1995). Neural Networks for Pattern Recognition. Oxford University Press. ISBN 9780198538646. 
  10. ^ Tipping, Michael E.; Bishop, Christopher M. (1999). "Probabilistic Principal Component Analysis". Journal of the Royal Statistical Society: Series B (Statistical Methodology). 61 (3): 611–622. ISSN 1369-7412. doi:10.1111/1467-9868.00196. 
  11. ^ Tam Dalyell Prize
  12. ^ Royal Academy of Engineering, Rooke Medal
  13. ^ "Christopher Bishop". 2017.