Christopher Bishop

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 in 2015
Born
Christopher Michael Bishop

(1959-04-07) 7 April 1959[1]
Norwich[1]
Alma mater
Known forPattern Recognition and Machine Learning (PRML) book
Awards
Scientific career
FieldsMachine learning[3]
Institutions
ThesisThe semi-classical technique in field theory: some applications (1983)
Doctoral advisorDavid Wallace[4]
Doctoral studentsDanielle Belgrave
Websiteresearch.microsoft.com/~cmbishop

Education

Bishop 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.[1][4]

Research and career

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 honours
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]

gollark: Please only use GTech™-approved closed timelike curves.
gollark: It damages the fabric of space-time.
gollark: Please do NOT schedule reminders into the past.
gollark: SQLite is a particular implementation which works in-process using a single file.
gollark: SQL is a vaguely standardized language for using databases.

References
  1. Anon (2015). "BISHOP, Prof. Christopher Michael". Who's Who. ukwhoswho.com (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. doi:10.1093/ww/9780199540884.013.249776. (subscription or UK public library membership required) (subscription required)
  2. 2008 Royal Institution Christmas Lectures
  3. Christopher Bishop publications indexed by Google Scholar
  4. Bishop, Christopher Michael (1983). The semi-classical technique in field theory : some applications (PhD thesis). University of Edinburgh. hdl:1842/11984. OCLC 59284998. EThOS uk.bl.ethos.346542.
  5. Anon (2017). "Christopher Bishop". royalsociety.org. London: Royal Society.
  6. "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. CiteSeerX 10.1.1.35.2022. 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 1 February 2018.
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