The University of Birmingham is one of thirteen university partners of The Alan Turing Institute, the UK’s national institute for data science and AI.
The Institute, established in 2015, is named in honour of Alan Turing, the distinguished mathematician and computer scientist whose seminal work in the 1950s laid the theoretical and philosophical foundations of AI. Based at the British Library in London, “The Turing” is a hub for collaboration between universities, business, and public/third sector organisations in eight key challenge areas that will have major impacts for UK science, our economy, and our society.
Our researchers are collaborating with and contributing to the Turing activities across its programme areas on projects ranging from fundamental theory through to applications in materials science and healthcare. We are collaborating across disciplines and institutions to advance data science and AI technologies. Projects include:
Our Turing Team
Professor Iain Styles – Turing University Lead
Iain is Birmingham’s academic lead for the partnership with the Turing, working across the two organisations to help form new scientific partnerships and to develop the strategic partnership. At Turing, he represents Birmingham at the Turing University Leads meeting and the Research and Innovation Advisory Committee. As a Turing Fellow, he also sits on the Equality, Diversity and Inclusivity Committee and co-chairs the Training Steering Group.
Nathaniel Byrne – University Liaison Manager
Nate is the administrative lead for the Turing partnership working across the University and the Turing to help deliver the scientific strategy. Nate is responsible for the financial and contractual aspects of the partnership and manages the communications to ensure that Birmingham researchers are properly connected to and informed about the Turing’s activities.
Turing Fellows
More than forty Birmingham academics have been appointed to The Alan Turing Institute as Fellows. Turing Fellows are scholars with proven research excellence in data science, artificial intelligence, or a related field whose research will be significantly enhanced through active involvement with the Turing network of universities and partners.
- Professor Tim Albrecht, Machine Learning for Single Molecule Science
- Professor Andrew Bagshaw, Brain Imaging and Neuroscience
- Professor Andrew Beggs (Turing page) Machine Learning for Cancer Research
- Professor Jean-Baptiste Cazier (Turing page) Population Diversity at Varying Scales
- Dr Hyung Jin Chang, Computer Vision and Deep Learning
- Professor Lee Chapman, Climate Resilience
- Dr Guy Davies, Astrophysical Data Science and Bayesian Inference
- Professor Sylvie Delacroix (Turing page) Data Trusts Initiative
- Dr Max di Luca, Human Behaviour Modelling
- Dr Jinming Duan, Medical Image Analysis And Deep Learning
- Dr John Easton, Railway Information Systems
- Professor Georgios Gkoutos (Turing page) Data Intensive Life Sciences
- Dr Laura Graham, Computational and Spatial Ecology
- Professor Jack Grieve, Corpus Linguistics
- Dr Dietmar Heinke, Human Behaviour Modelling
- Professor Ole Jensen, Brain Imaging and Neuroscience
- Dr Samuel Johnson (Turing page) Nature inspired routing for resilient networked systems
- Professor Ata Kaban (Turing page) High-dimensional Data Analytics
- Dr Per Kristian Lehre (UKRI Turing AI Fellow)
- Professor Aleš Leonardis (Turing page) Tracking Membrane Receptor Interactions Via Data-driven Machine Learning
- Professor Jinglai Li, Computational Statistics and Inverse Problems
- Dr Miqing Li, Optimization
- Dr Max Little, Causal Reasoning, Machine Learning For Signal Processing, and Smartphone Sensing
- Dr Luisa Orsini (Turing Fellow) Environment and Human Health: Monitoring and Prevention Using AI
- Professor Michaela Mahlberg, Corpus Linguistics
- Dr Petar Milin, Computational Linguistics
- Dr Matt Nicholl, Astrophysical Data Science and Bayesian Inference
- Professor Krish Nirantharakumar, Health Data
- Professor Dylan Owen, Single Molecule Microscopy and Pattern Analysis
- Professor David Parker, Verification of AI Systems
- Dr Colin Rowat, Game Theory and Explainable AI
- Professor Jon Rowe (Turing page) Programme Director, Data Science for Science
- Dr Xiaocheng Shang, Sampling In High Dimensional Spaces
- Dr Fabian Spill, Mathematical Modelling
- Professor Iain Styles (Turing page) Topological hierarchies in complex image data
- Professor Peter Tino (Turing page) Machine Learning in the Space of Inferential Models
- Professor Alberto Vecchio, Astrophysical Data Science and Bayesian Inference
- Dr Nicole Wheeler, High-Throughput Genomic Analysis for Threat Analysis
- Dr Hazel Wilkinson, Digital Humanties, Computer Vision
- Dr Grant Wilson, Energy Data
- Dr Christopher "Kit" Windows-Yule, Dynamics of Particulate Systems
- Dr Yufeng Zhang, Operations Management
- Dominic Danks (Turing Doctoral Student) Stochastic Disease Modelling