Members

My research is centred on brain-computer-face (BCI) and neurofeedback learning, aiming to understand and optimise the interaction between the brain and technological interfaces.

Human spinal cord circuitry and pain chronification in the Pain Neurobiology Research Group

We are interested in brain mechanisms of pain resilience and currently focusing on using brain-computer (mainly smart phones and EEG) interfaces to help improve resilience to pain and related symptoms in patients with chronic pain and related disorders (abnormal sleep,mood and non-epileptic epilepsy)

I am a United States Army sponsored DPhil/PhD student at the Nuffield Department of Surgical Sciences studying cognition in the deep brain.

My Research is supervised by Professors Tipu Aziz and Alexander Green from the Oxford Functional Neurosurgery Group at John Radcliffe Hospital.

I am very interested in understanding the organisational mapping of sub cortical pain network circuits, and the corresponding cortical functional connectivity hubs e.g. the Salience Network’s dorsal Anterior Cingulate Cortex (dACC) and Anterior Insular Cortex (aINS) which are consistently co-activated in experimental pain and rsfMRI.

Understanding this network underpinnings allows for a more optimal deep brain stimulation target location selection and precise depth electrode placement with favourable outcome prediction in neuromodulation of neuropathic pain suffered by thalamic stroke patients in the United Kingdom.

Neurotechnology

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.

My main research area focuses on the study and management of chronic musculoskeletal pain within the field of physiotherapy. Currently, we are conducting comprehensive evaluations using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to gain deeper insights into the neural correlates of chronic pain. Additionally, we are integrating Virtual Reality as an innovative therapeutic tool to enhance pain management strategies. Our research aims to develop advanced, evidence-based interventions that improve outcomes for patients suffering from chronic pain conditions.

Pain associated with metastatic spinal diseases.

Pain associated with metastatic spinal diseases.