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 |
