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University of Bath | Bath

Naomi du Bois

Working in:

  • Digital Health
  • Neurofeedback
  • Virtual reality
  • Other

Currently, I am a trial manager on a UKRI Turing AI Acceleration Fellowship Project, where I am responsible for planning and running EEG-based BCI research trials – which primarily includes trials with patients who have prolonged disorders of consciousness and/or physical impairments resulting from injury or disease. My main area of research has a focus on brain-computer interface (BCI) technologies.

University of Bath | Bath

Caitlin Naylor

Working in:

  • Virtual reality

Using virtual reality to understand how body representation is distorted in chronic pain and also how VR can be used to rehabilitate and alter body perception to decrease pain.

University of Exeter | Exeter

Gavin Buckingham

Working in:

  • Prosthetics and robotics
  • Virtual reality

Perception, upper-limb motor control, grip forces, virtual reality

Cardiff University | Cardiff

Jen Davies

Working in:

  • Bioelectronics and sensor systems
  • Biomechanics
  • Digital Health
  • Non-invasive brain stimulation
  • Peripheral stimulation
  • Virtual reality

I study the spinal and supraspinal neural control of dynamic movements, and the impact of pain, stress or anxiety, and musculoskeletal or neurological disorders on this control. To do this I use techniques such as transcranial magnetic stimulation, surface electromyography (including high-density arrays), intramuscular electromyography, peripheral nerve stimulation and motion capture.

University of Oxford | Oxford

Marzia Hoque Tania

Working in:

  • Digital Health
  • Virtual reality
  • Data science and biomarkers

I am an early-career multidisciplinary researcher, presently employed as a clinical machine learning researcher at the University of Oxford. My research primarily centres around electronic healthcare records and secondary care data. During my doctoral studies, I concentrated on visual knowledge transformation, while my current postdoctoral work is centred on developing survival-aware machine learning techniques for healthcare applications

University of Birmingham

Ali Khatibi

Working in:

  • Digital Health
  • Neurofeedback
  • Virtual reality
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University of Oxford

Danielle Hewitt

Working in:

  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Virtual reality
  • Data science and biomarkers
  • Other
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UKRI Innovate UK KTN

Amy Romaniuk

Working in:

  • Bioelectronics and sensor systems
  • Prosthetics and robotics
  • Biomechanics
  • Pumps and infusion devices
  • Digital Health
  • Non-invasive brain stimulation
  • Invasive brain or spinal stimulation
  • Peripheral stimulation
  • Neurofeedback
  • Invasive recording systems
  • Virtual reality
  • Data science and biomarkers
  • Optogenetic systems
  • Other
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University of Exeter

Sophie Clarke

Working in:

  • Virtual reality
  • Data science and biomarkers
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