Christopher Bishop

Christopher Bishop is a Microsoft Technical Fellow, Director of Microsoft Research AI for Science, and Honorary Professor of Computer Science at the University of Edinburgh. He is a Fellow of Darwin College, Cambridge, the Royal Academy of Engineering (2004), the Royal Society of Edinburgh (2007), and the Royal Society (2017). His career spans theoretical physics, machine learning research, and leadership roles across academia and industry.

• BA in Physics, University of Oxford
• PhD in Theoretical Physics, University of Edinburgh

His research focuses on applying machine learning to the natural sciences, including quantum field theory, fusion plasma physics, and computational modeling. He pioneered foundational textbooks such as Neural Networks for Pattern Recognition (1995), Pattern Recognition and Machine Learning (2006), and the recent top-selling Deep Learning: Foundations and Concepts (2024), which have profoundly shaped AI education and practice.

His publications reflect expertise in probabilistic methods, neural networks, and AI-driven scientific discovery, with a strong emphasis on interdisciplinary applications in physics, mathematics, and computational sciences.

• Fellow of the Royal Academy of Engineering (2004)
• Fellow of the Royal Society of Edinburgh (2007)
• Fellow of the Royal Society (2017)
• Delivered Royal Institution Christmas Lectures (2008)
• Founding member of the UK AI Council (2019)
• Appointed to Prime Minister’s Council for Science and Technology (2019)

Bishop established the Neural Computing Research Group at Aston University and led Microsoft Research Cambridge (2015–2022) before founding the AI for Science team. He actively promotes public science engagement and contributes to global AI research strategy.