Biography
My lab addresses the computational and systems neuroscience of pain. This research is part theoretical: building realistic models of neuronal information processes to understand processes of pain perception and behaviour, and part experimental: testing these theories using a range of experimental methodologies, especially fMRI. My research aims to develop new technology-based therapies for treating pain in clinical populations.
I am a Wellcome Senior Clinical Fellow at Oxford University, working jointly at the Wellcome Centre for Integrative Neuroimaging and the Oxford Institute for Biomedical Engineering; and a visiting researcher at ATR labs (Kyoto). I am a Fellow at the Alan Turing Institute with an interest in safe AI control systems. I am also an honorary consultant neurologist at Oxford University Hospitals NHS Trust with an interest in behavioural homeostasis and sleep, pain and fatigue neurology.
Awards and Prizes
- Turing Fellow
- Fellow of the Royal Society of Arts
Most Recent Publications
Statistical learning shapes pain perception and prediction independently of external cues.
Statistical learning shapes pain perception and prediction independently of external cues.
Balancing safety and efficiency in human decision making
Balancing safety and efficiency in human decision making
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Research Interests
The lab addresses the computational and systems neuroscience of pain. This research is part theoretical: building realistic models of neuronal information processes to understand processes of pain perception and behaviour, and part experimental: testing these theories using a range of experimental methodologies, especially fMRI. The research aims to develop new technology-based therapies for treating pain in clinical populations, and looks to develop broader applications of brain inspired ‘safe learning systems’ in AI and robotics.
Projects
• UKRI Neurotechnology Network for Chronic pain (2022-2025). With colleagues from Glasgow, Cardiff, Plymouth and Exeter, this project lays a foundation for the development of state-of-the-art clinical neuroengineering and neurotechnology for pain and associated symptoms of fatigue and disability.
• Versus/MRC The Role of Learning in Chronic Musculoskeletal Pain (2022-2025). With colleagues in Cambridge, this project develops digital technologies for understanding how maladaptive cognitive and motor learning play a role in the pathogenesis of chronic pain.
• Wellcome Neural Mechanisms of Endogenous Analgesia (2020-2025). This project aims to identify how the brain switches off pain in various situations, using computational models of pain, and neuroimaging.
• IITP/KAIST Developing Safe AI systems (2018-2022). With colleagues in KAIST (South Korea), this project explores how to design adaptive autonomous control systems that prioritize safety.
• Versus/NICT Pain, Action, Movement Network (2017-2022). With colleagues in Japan, this project builds a collaborative network for studying the role of movement in pain.
Research Groups
Related Academics
Most Recent Publications
Statistical learning shapes pain perception and prediction independently of external cues.
Statistical learning shapes pain perception and prediction independently of external cues.
Balancing safety and efficiency in human decision making
Balancing safety and efficiency in human decision making
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Publications
Most Recent Publications
Statistical learning shapes pain perception and prediction independently of external cues.
Statistical learning shapes pain perception and prediction independently of external cues.
Balancing safety and efficiency in human decision making
Balancing safety and efficiency in human decision making
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
Post-injury pain and behaviour: a control theory perspective.
