
Builders & open source
Christopher Bishop
Technical Fellow and founder of Microsoft Research AI for Science, Microsoft
- Technical Fellow and founder of Microsoft Research AI for Science, Microsoft Research1
- Honorary Professor of Computer Science, University of Edinburgh1
Christopher Bishop is a Microsoft Technical Fellow and the founder of Microsoft Research AI for Science, where Bishop oversees a global research portfolio on machine learning for the natural sciences. Bishop joined Microsoft in 1997 and was Lab Director of Microsoft Research Cambridge from 2015 until 2022, when Bishop founded the AI for Science team. Bishop wrote the machine learning textbooks Neural Networks for Pattern Recognition (1995) and Pattern Recognition and Machine Learning (2006), co-authored Deep Learning: Foundations and Concepts, and was elected a Fellow of the Royal Society in 2017.12
At a glance
- Current roles
- Technical Fellow and founder of Microsoft Research AI for Science +1 more
- Companies
- Microsoft, University of Edinburgh
- Sector
- Company
- Education
- Edinburgh
- Work listed
- 3
- Honors
- 3
- Sources cited
- 2
- Profile reviewed
Career
Christopher Bishop completed a PhD in theoretical physics at the University of Edinburgh with a thesis on quantum field theory, then joined the Theoretical Physics Division of Culham Laboratory to research magnetically confined fusion plasmas. An interest in machine learning led Bishop to become Head of the Applied Neurocomputing Centre at AEA Technology, and later to a Chair at Aston University, where Bishop set up and led the Neural Computing Research Group.1
Bishop joined Microsoft in 1997 and directed Microsoft Research Cambridge from 2015 to 2022, when Bishop founded the AI for Science team. As a Technical Fellow, Bishop oversees a global research portfolio on machine learning for the natural sciences, and also holds an honorary professorship in computer science at the University of Edinburgh and a fellowship of Darwin College, Cambridge.1
Teaching and writing
Bishop wrote the textbooks Neural Networks for Pattern Recognition (1995) and Pattern Recognition and Machine Learning (2006), and co-wrote Deep Learning: Foundations and Concepts with Hugh Bishop. The Microsoft Research page for Pattern Recognition and Machine Learning describes it as an introduction for advanced undergraduates and first-year PhD students with a Bayesian perspective, and offers exercise solutions and figures for course instructors.12
Bishop delivered the Royal Institution Christmas Lectures in 2008. Bishop was also a founding member of the UK AI Council and in 2019 was appointed to the Council for Science and Technology.1
Work and contributions
Pattern Recognition and Machine Learning Published research
Author of the 2006 textbook (Springer). Bishop's Microsoft Research book page describes it as an introduction to pattern recognition and machine learning with a Bayesian perspective, and provides chapter slides for course tutors.21
Deep Learning: Foundations and Concepts Published research
Co-author of this deep learning textbook, featured on Bishop's Microsoft Research page as a new book.1
Neural Networks for Pattern Recognition
Author of a machine learning textbook published by Oxford University Press in 1995.1
Timeline
- Published the textbook Neural Networks for Pattern Recognition with Oxford University Press.1
- Joined Microsoft Research.1
- Published the textbook Pattern Recognition and Machine Learning with Springer.12
- Delivered the Royal Institution Christmas Lectures.1
- Became Lab Director of Microsoft Research Cambridge.1
- Appointed to the Prime Minister's Council for Science and Technology.1
- Founded the Microsoft Research AI for Science team.1
Other documented roles
Roles the sources document that are not confirmed as current.
- Lab Director (2015–2022), Microsoft Research Cambridge1
- Chair in the Department of Computer Science and Applied Mathematics; founder and leader of the Neural Computing Research Group, Aston University1
- Head of the Applied Neurocomputing Centre, AEA Technology1
Honors and recognition
Where they work
- Microsoft 75 people in the wiki
- University of Edinburgh 1 person in the wiki
Related people
- James McCaffreyAlso at Microsoft
- Abhimanyu DasAlso at Microsoft
- Kevin StratvertAlso at Microsoft
- Andreas C. MüllerAlso at Microsoft
- Sébastien BubeckAlso at Microsoft
- Daphne KollerAI for science · Teaching and writing
- Anima AnandkumarAI for science · Machine-learning theory
- Josh StarmerTeaching and writing · Machine-learning theory
- Trevor HastieMachine-learning theory · Teaching and writing
- Alex SmolaTeaching and writing · Machine-learning theory
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References
2 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026