Members
Dr. Suyi Zhang
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Digital Health
- Virtual reality
- Data science and biomarkers
Developing non-invasive brain-computer interfaces with optical modalities, creating real time decoding and signal processing BCI software, building AI models to decode human intention and speech
Dr. Sharmila Khot
Working in:
- Peripheral stimulation
- Virtual reality
- Other
Investigating functional neuroimaging in health and disease specifically role of pharmaco-imaging. Assessing non joint pain in people with rheumatoid arthritis and response to novel treatment with QST and neuroimaging.
Device development-PI for the Wellcome Trust, Translation of Concept Scheme-Institutional Translational Partnership Award (ITPA) developing a novel MR safe quantitative sensory testing device to assess peripheral and central sensitisation in musculoskeletal chronic pain.
Impact of immersive VR on pain processing and pain related patient outcomes.
Interested in understanding and developing Wearable Sensor based Technology and Brain stimulation for treating pain and related phenomenon
Dr. Anushka Soni
Working in:
- Digital Health
- Data science and biomarkers
I am a Rheumatologist with a clinical and research interest in musculoskeletal pain mechanisms. I use a combination of techniques, including neuroimaging and clinical pain quantification, to investigate pain related predictors of response to treatment in different forms of arthritis and fibromyalgia. My group is currently investigating the effectiveness of digital cognitive behavioural therapy for insomnia in patients with fibromyalgia. This study is using online platforms to conduct questionnaire-based surveys and collect quantitative movement and cognitive learning data.
Dr. Jordan Tsigarides
Working in:
- Bioelectronics and sensor systems
- Digital Health
- Neurofeedback
- Virtual reality
- Data science and biomarkers
My work focusses on the development and use of virtual reality interventions for the management of chronic pain. This includes research into brain-computer interfaces, personalised approaches using sensor-based technologies (eye tracking, EEG, ECG etc), and machine learning.