Christopher Bishop
| Chris Bishop | |
|---|---|
 | |
| Born |
Christopher Michael Bishop 7 April 1959[1] |
| Residence | Cambridge |
| Fields | Machine learning[2] |
| Institutions | |
| Alma mater |
|
| Thesis | The semi-classical technique in field theory: some applications (1983) |
| Doctoral advisor | David Wallace[3] |
| Doctoral students | Neil Lawrence[4] |
| Known for | Pattern Recognition and Machine Learning (PRML) book[5] |
| Notable awards |
|
|
Website research | |
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][5]
Education
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.[3][1][8][9][10]
Awards and honours
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[6] and the Turing Lecture in 2010. Bishop was elected a Fellow of the Royal Academy of Engineering (FREng) in 2004, a Fellow of the Royal Society of Edinburgh (FRSE) in 2007, and Fellow of the Royal Society (FRS) in 2017.[13]
References
- 1 2 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)
- ↑ Christopher Bishop publications indexed by Google Scholar
- 1 2 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.
- ↑ Lawrence, Neil (2001). Variational inference in probabilistic models (PhD thesis). University of Cambridge.
- 1 2 Bishop, Christopher M. (2006). Pattern Recognition and Machine Learning (PDF). Springer. ISBN 978-0-387-31073-2.
- 1 2 Royal Institution Christmas Lectures
- ↑ "Christopher Bishop". 2017.
- 1 2 "Microsoft Research Cambridge".
- ↑ 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 (Statistical Methodology). 61 (3): 611–622. ISSN 1369-7412. doi:10.1111/1467-9868.00196.
- ↑ Tam Dalyell Prize
- ↑ Royal Academy of Engineering, Rooke Medal
- ↑ "Christopher Bishop". 2017.