Cambridge Centre for Data science and AI
The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence.
The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence.
The University of Cambridge is a university partner of The Alan Turing Institute. Together with the Turing's university and industry partners, we work together to undertake collaborative research, apply our research to real-world problems and train the next generation.
More details can be found on the Institute’s website.
Turing university network
Cambridge, Edinburgh, Oxford, Warwick and UCL who were selected as founder members when the Institute was created in 2015. Since November 2017 six universities (Birmingham, Exeter, Leeds, Manchester, Newcastle and Queen Mary University of London) joined the Turing, and Bristol and Southampton are set to join. Current partnerships and collaborations can be found here.
Turing research themes
Research themes at the Turing cover a huge range of disciplines. There is an every growing list of research disciplines which can be found here.
C2D3 and Turing
C2D3 provides support to Cambridge's relationship with the Turing.
Turing University Lead
For more information, please contact: Professor Zoe Kourtzi, Turing University Lead (zk240@cam.ac.uk).
Turing University Liaison Manager
To contact Cambridge's Turing University Liaison Manager, please email turingULM@admin@cam.ac.uk
Chief Data Scientist
In September 2021, the Turing announced Professor Mark Girolami as its first Chief Scientist.
Professor Girolami is the Sir Kirby Laing Professor of Civil Engineering at the University of Cambridge where he also holds the Royal Academy of Engineering Research Chair in Data Centric Engineering (DCE). He is a globally renowned and inspirational research leader whose expertise uniquely spans the main data science and AI disciplines of computing science, statistical science, applied mathematics, and engineering. He has held senior academic professorial posts in some of the UK’s world leading universities, and in addition, he brings a wealth of industrial, business, and commercial experience having worked for a decade with IBM.
Turing fellows and researchers
Over 400 researchers collaborate at the Turing. University of Cambridge researchers linked to the Turing can be found on the people page.
Presenting the Turing Fellow Research Projects
In 2021, C2D3 hosted Cambridge's 'Presenting the Turing Fellow Research Projects'. This event was part of a wider event series being run across the Turing’s university partner network. The Turing Fellows were awarded funding via an open call in 2018. Recordings of the events are available to C2D3 members here. Our presentations were:
- Professor Robert Foley, Dr Jason Gellis and Dr Camila Rangel Smith Data science and the reconstruction of past behaviour: capturing the stone tool technology of prehistoric people
- Dr Sarah Morgan Assessing psychosis risk using quantitative markers of transcribed speech
- Professor Zoe Kourtzi AI-guided solutions for early detection of dementia
- Dr Paul Schofield The cooked and the raw; extracting and exploiting structured and unstructured clinical data from patient electronic health records
Turing events
For details about forthcoming Turing events, seminars, webinars etc, please visit their website.
Turing and industry
Cambridge welcomes the opportunity to engage in three-way research between industry, academia and the Turing. Please get in touch with us if you think you research would suit a collaboration or visit the Turing's industry webpages.
