Skip to main content

Institute for Data Science and Artificial Intelligence

Exeter Turing Fellows

Turing Fellows are established scholars with proven research excellence in data science, artificial intelligence, or a related field. They contribute to new ideas, drive collaborative projects, secure external funding and provide research expertise which is actively connected with the Institute and its network of universities and industry partners.

Name Research interests
Dr Michael Allen  
Dr Edmond Awad Artificial Intelligence, AI Ethics, Computational Ethics, Computational Social Science, Data Science, Multi-agent Systems
Professor Susan Banducci Information, Negativity and Democracy/ (Mis)Information & Trust -- Large Scale Online Randomized Experiments
Professor Robert Beardmore Mathematical Modelling of Clinical and in vitro Datasets that Chart the Progression of Antibiotic Resistant Microbes
Dr Federico Botta Federico Botta Computational social science, urban analytics, behavioural data science, data science for policy
Dr Lewys Brace Extremist radicalisation and terrorism/social data science and computational methods
Professor Alan Brown Accelerating the Impact of Artificial Intelligence in UK Government
Professor Peter Challenor Uncertainty Quantification (UQ) for Black-Box Computational Models with Application to Machine Decisions
Professor Albert Chen Data analytics and computations for water and human environments
Professor Tim Dodwell Data-driven, simulation informed, high value manufacturing
Professor Richard Everson Data Science for Sustainable Development: Environment, Climate and Health
Professor Jonathan Fieldsend Black-box optimisation (with particular interests in multi-objective optimisation) and the interface of machine learning and optimisation.
Professor Guangtao Fu Data analytics for smart urban water infrastructure
Professor Oliver Hauser Behavioural economics, data science, causal inference, game theory
Professor Leif Isaksen Digital Humanities; Linked Open Data; Geospatial technologies
Professor Edward Keedwell Development of optimisation and human-centred AI algorithms for sustainability, engineering and bioinformatics
Professor Mark Kelson Data science for accelerometry for health/Data science for clinical trials data on mental health
Dr Prakash Kripakaran

AI and computing for structural design and management of civil infrastructure

Professor F Hugo Lambert Data science for atmospheric and climate model development and comparison to observations
Professor Tim Lenton Data Science for Sustainable Development: Environment, Climate and Health
Professor Sabina Leonelli From Field Data to Global Indicators: Towards a Framework for Intelligent Plant Data Linkage
Dr Ke Li Evolutionary multi-objective optimization, machine learning, multi-criterion decision-making, search-based software engineering, artificial intelligence for scientific discovery
Professor David Llewellyn Advanced machine learning for dementia identification and targeted interventions
Professor Ronaldo Menezes  
Professor Thomas Monks Translation of Data Science and Operational Research tools to health and social care
Dr Mohsen Mosleh  Social Networks, Online Misinformation, Information bias, Digital Field Experiments
Dr Jonathan Phillips Controlling protein molecules to perform biochemical computing: Uniquely addressable protein logic gates/Protein computing
Dr David Richards Data-driven mathematical modelling and computer simulation in biology and medicine, image analysis, machine learning in the life sciences, parameter fitting
Dr Niccolo Tempini The social role of data in health artificial intelligence/Soft methodologies for data analytics infrastructure design and development
Professor Krasimira Tsaneva-Atanasova Machine Learning and Dynamical Systems (Learning in the Model Space), Data Science for Mental Health
Dr Jess Tyrrell

Data science for metabolic and mental health/ Data science for vestibular disorders

Dr Kirsty Wan  
Professor Hywel Williams Digital media & climate change.
Professor Danny Williamson Development of UQ technology for tuning climate models/Foundations research on how the product of data science/AI can be defensibly interpreted as “uncertainty” and can be used to make optimal decisions
Dr Andrew Wood  
Dr Zena Wood The application of Geographic Information Science and Applied Ontology techniques within the Digital Economy