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.
Professor Alberto Arribas
Sustainable Development: Environment, Climate and Health
Professor Susan Banducci
Information, Negativity and Democracy/ (Mis)Information & Trust -- Large Scale Online Randomized Experiments
Professor Alan Brown
Accelerating the Impact of Artificial Intelligence in UK Government
Dr Federico Caprotti
Integrating smart health data and ploicy frameworks: mobile DNA sequencing and smart healthcare/
Professor Peter Challenor
Uncertainty Quantification (UQ) for Black-Box Computational Models with Application to Machine Decisions
Dr Leon Danon
Infectious disease surveillance tool using mobile phone records/Targeting antimicrobial stewardship efforts in primary care using prescription data
Professor Tim Dodwell
DATA-DRIVEN, SIMULATION INFORMED, HIGH VALUE MANUFACTURING
Professor Richard Everson
Data Science for Sustainable Development: Environment, Climate and Health
Professor Lora Fleming
Data Science for Sustainable Development: Environment, Climate and Health
Professor Guangtao Fu
Data analytics for smart urban water infrastructure
Dr Mark Kelson
Data science for accelerometry for health/Data science for clinical trials data on mental health
Professor Timothy 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
Professor David Llewellyn
Advanced machine learning for dementia identification and targeted interventions
View Professor Llewllyn's Turing Fellowship profile.
Professor Karyn Morrissey
Data Science for Sustainable Development: Environment, Climate and Health
Dr Jonathan Phillips
Controlling protein molecules to perform biochemical computing: Uniquely addressable protein logic gates/Protein computing
Dr David Plans
Workplace Organisational Neuroscience Deployment (Intervention/Pre-Diagnostic) / Mental Health Risk Modelling
Dr Nicolas Pugeault
Computer vision, Machine Learning and Autonomous Robotics: Developmental scaffolding for Deep Reinforcement Learning/Learning Visual Attention for Driving
Professor Gavin Shaddick
Data Science for Sustainable Development: Environment, Climate and Health
Dr Niccolò Tempini
The social role of data in health artificial intelligence/Soft methodologies for data analytics infrastructure design and development
Professor Krasimira Tsaneva-Atanasova
Virtual Reality Based Diagnosis and Therapy for Mental Health/Learning in the Model Space and Data Assimilation for large biomedical datasets
View Professor Tsaneva-Atanasova's Turing Fellowship profile.
Professor Hywel Williams
Digital media & climate change.
Dr. Daniel 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
