British computer scientist (born 1959)
Christopher Michael Bishop (born 7 April 1959) is a British computer scientist. He is a Microsoft Technical Fellow and Director of Microsoft Research AI4Science . He is also Honorary Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. Chris was a founding member of the UK AI Council , and in 2019 he was appointed to the Prime Minister’s Council for Science and Technology .
Early life and education
Christopher Michael Bishop was born on 7 April 1959 in Norwich , England, to Leonard and Joyce Bishop.[ 7] He was educated at Earlham School in Norwich, and obtained a Bachelor of Arts degree in physics from St Catherine's College, Oxford , and later a PhD in theoretical physics from the University of Edinburgh ,[ 7] with a thesis on quantum field theory supervised by David Wallace and Peter Higgs .[ 3] [ 4]
Research and career
Bishop investigates machine learning ,[ 8] in which computers are made to learn from data and experience.[ 9] [ 10] [ 11] His former doctoral students include Neil Lawrence [ 5] [ 6] and Danielle Belgrave .
Publications
Bishop is the author of two highly cited and widely adopted machine learning text books: Neural Networks for Pattern Recognition[ 12] and Pattern Recognition and Machine Learning.[ 13]
His latest book, Deep Learning, Foundations and Concepts, was published in 2023 by Springer.[ 14]
Awards and honours
Bishop was awarded the Tam Dalyell prize in 2009[ 15] and the Rooke Medal from the Royal Academy of Engineering in 2011.[ 16] He gave the Royal Institution Christmas Lectures in 2008[ 1] and the Turing Lecture in 2010. Bishop was elected a Fellow of the Royal Academy of Engineering (FREng) in 2004,[ 17] a Fellow of the Royal Society of Edinburgh (FRSE) in 2007,[ 18] and Fellow of the Royal Society (FRS) in 2017.[ 8]
Personal life
Bishop married Jennifer Mary Morris in 1988. They have two sons.[ 7]
References
^ a b 2008 Royal Institution Christmas Lectures
^ Christopher Bishop publications indexed by Google Scholar
^ a b "Professor Christopher Bishop elected Fellow of the Royal Society of Edinburgh" . University of Edinburgh School of Informatics . Retrieved 8 September 2020 .
^ a b 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 .
^ a b Christopher Bishop at the Mathematics Genealogy Project
^ a b Lawrence, Neil David (2000). Variational Inference in Probabilistic Models (PDF) . thelawrences.net (PhD thesis). University of Cambridge. OCLC 894596569 . EThOS uk.bl.ethos.621104 . Archived from the original (PDF) on 18 April 2003.
^ a b c "Bishop, Prof. Christopher Michael" . Who's Who . A & C Black. 2021. doi :10.1093/ww/9780199540884.013.U249776 . (Subscription or UK public library membership required.)
^ a b Anon (2017). "Christopher Bishop" . royalsociety.org . London: Royal Society .
^ "Microsoft Research Cambridge" . Microsoft .
^ Bishop, Christopher Michael (1995). Neural Networks for Pattern Recognition . Oxford University Press . ISBN 9780198538646 .
^ 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 . S2CID 15538672 .
^ Neural Networks for Pattern Recognition (1995) [ISBN missing ]
^ Pattern Recognition and Machine Learning https://www.microsoft.com/en-us/research/people/cmbishop/prml-book/ (2006) [ISBN missing ]
^ Deep Learning, Foundations and Concepts (2023), https://www.bishopbook.com .
^ Tam Dalyell Prize
^ "Royal Academy of Engineering, Rooke Medal" . Archived from the original on 14 September 2021. Retrieved 1 September 2015 .
^ "Royal Academy of Engineering" . Archived from the original on 14 September 2021. Retrieved 1 February 2018 .
^ "Professor Christopher M Bishop FREng FRSE, FRS - The Royal Society of Edinburgh" . The Royal Society of Edinburgh . Retrieved 1 February 2018 .
Main projects
MSR Labs applied research
International National Academics Other