Members
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
Harriet Downing
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
- Virtual reality
- Data science and biomarkers
The Bath Institute for the Augmented Human is led by Prof Damien Coyle and Dr Ben Metcalfe, and brings together 60+ academics at Bath with expertise in neurotech, wearables/sensors, robotics, VR/AR, Virtual Digital Assistants, assistive communications devices, haptics, implantables, brain-computer interfaces. The Institute’s focus is on the development of technology to improve human physical and cognitive performance, in a safe and ethical manner, for societal benefit and ensuring no harm is done in the field.
Thomas Pourchet
Working in:
- Computational and dynamical brain models
- Biomechanics
- Non-invasive brain stimulation
- Data science and biomarkers
My PhD thesis project focuses on non-invasive brain stimulation for treating Chronic Low Back Pain. Specifically, I am conducting a Randomized Controlled Trial (RCT) to evaluate the effects of an active physiotherapy program combined with transcranial Direct Current Stimulation (tDCS) on Pain, Resting State EEG activity, and an EMG biomarker: the Flexion Relaxation Phenomenon. Then we would also like to determine different low back pain phenotypes.
Victoria Marks
Working in:
- Bioelectronics and sensor systems
- Invasive brain or spinal stimulation
- Neurofeedback
- Invasive recording systems
- Data science and biomarkers
I work in neurostimulation device development. Disease modalities I’ve worked with include epilepsy, chronic pain, MSA, and TBI. Current work is looking for a biomarker of pain.
Pouya Rabiei
Working in:
- Non-invasive brain stimulation
- Peripheral stimulation
- Neurofeedback
- Invasive recording systems
- Data science and biomarkers
My rsearch area is to explore neurophysiological and neuropsychological spect behind pain development.