Members
Mattan Pelah
Working in:
- Computational and dynamical brain models
- Bioelectronics and sensor systems
- Biomechanics
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Virtual reality
- Data science and biomarkers
I work in the Pain and Averse Learning lab under Prof. Ben Seymour on computational models for the neurological mechanisms of tonic pain, and modulating these mechanisms via neurostimulation (primarily non-invasive, eg. TUS and TMS) for clinical use.
Dr Duncan Hodkinson
Working in:
- Non-invasive brain stimulation
- Peripheral stimulation
- Data science and biomarkers
I study the neural mechanisms that underly nociception, central sensitization, pain processing and modulation. I am also interested in understanding the signs and symptoms that accompany many clinical pain states. My approach consists of combining neuroimaging (MRI) with a range of neuromodulation techniques including non-invasive brain stimulation and peripheral stimulation. This work aims to translate research between experimental human studies and clinical science, with a view to identifying new therapeutics, medical devices, and diagnostics.
Kengo Shibata
Working in:
- Digital Health
- Non-invasive brain stimulation
- Invasive brain or spinal stimulation
- Neurofeedback
- Data science and biomarkers
Neurodegeneration and digital biomarkers
Pradeep Dheerendra
Working in:
- Computational and dynamical brain models
- Non-invasive brain stimulation
- Neurofeedback
- Data science and biomarkers
Non-invasive brain stimulation to alleviate distress in misophonia and provide relief to sufferers using TMS. Chronic Neuropathic Pain in Spinal Cord Injury
Pruthvi Mehta
Working in:
- Computational and dynamical brain models
- Invasive brain or spinal stimulation
- Neurofeedback
- Data science and biomarkers
My main interest is in neurophysics and computational neurology. I have a background (PhD) in particle physics, but am looking to pivot to neuroscience. I have used computational neurology tools such as BRIAN (used to simulate spiking neural networks), and have used Python and Tensorflow as part of my machine learning projects and PhD research. I would love to contribute in any way to chronic pain research, and it is a topic close to my heart as I suffered from chronic pain throughout my PhD and continue to do so.
Sudipta Chowdhury
Working in:
- Computational and dynamical brain models
- 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
Current student – I am still exploring my interests in health and med tech
Fiona Boissonade
Working in:
- Animal models
- Neurofeedback
- Data science and biomarkers
Chronic pain, Neuropathic pain, musculoskeletal pain.
Nerve injury, nerve repair, bioengineered conduits for nerve regeneration.
EEG in human pain states.
EMG as a therapeutic tool.
Transcriptomic approaches in human pain tissues – identification of potential analgesic targets and biomakers.
Titli Saha
Working in:
- Animal models
- Data science and biomarkers
- Optogenetic systems
- Other
Integrating pathways in opioid addiction and chronic pain. Molecular and Imaging biomarkers for Chronic Pain using animal models, fMRI and fNIRS study.
John McBeth
Working in:
- Bioelectronics and sensor systems
- Digital Health
- Data science and biomarkers
Chronic pain, Multimorbidity, Epidemiology, Health Data Science, Digital health