Our Team

I am a second year PhD student at UCL and King's College London on the London Interdisciplinary Doctoral programme (LIDo). My project aims to develop a more optimised approach for deriving the Heartbeat Evoked Potential (HEP) - an electrophysiological marker reflecting the cortical processing of heartbeats - and to investigate the HEP in different clinical populations. This research involves professors and collaborators from UCL and King's College London, along with clinicians from the National Hospital for Neurology and Neurosurgery and the UCL & Barts Heart Centre.

MRC icase PhD student info coming soon!

I’m a Consultant Paediatric Neurologist at Evelina London Children’s Hospital (GSTT) and Visiting Research Fellow in the School of Biomedical Engineering and Imaging Sciences (KCL). I’m currently funded by Action Medical Research and the British Paediatric Neurology Association to develop advanced MR for autoimmune encephalitis in children and young people, combining EEG-fMRI, quantitative relaxometry and 7 Tesla MRI/MRS with cognitive tests. Clinically I work in acute paediatric neurology, neuroinflammation and general neurology, with research interests applying data science and neuroimaging methods in these populations. Feel free to get in touch!

I am currently starting my PhD working as a research assistant and completing my masters in computational neuroimaging. i am currently working on the development of the real-time analysis method. This method can be used to optimise cognitive neurosciences studies in real time. This allows for automatic task-selection from a sample space from which it can progressively learn - and use this knowledge to optimise subsequent task selection. 
This will hopefully prove useful in studying Epilepsy and we aim to use this method in both intracranial EEG (icEEG) and simultaneous EEG-fMRI, to improve both the classification and treatment of epilepsy.

I am 3rd year BSc Psychology student at King's College London. As part of my professional placement year, I've joined the School of Biomedical Engineering and Imaging Sciences as a research assistant. I am currently working under Dr Michael Eyre, focusing on a study that aims to develop advanced neuroimaging techniques for the clinical evaluation of autoimmune encephalitis. The significance of this research lies in its potential to improve treatment strategies, thereby enhancing patient outcomes.

l am a neurosurgery registrar and currently studying for a PhD in paediatric epilepsy surgery as part of GOSH children charity programme. The 7-Tesla Temporal Lobe epilepsy study is a prospective case-control neuroimaging study for children and adults being considered for epilepsy surgery

l am currently in the third year of my PhD, l am working on methods to accurately visualise the cortex in order to detect epileptic lesions while simultaneously conducting multi-parametric imaging within clinically acceptable scan duration.

In my PhD project, I am investigating the Neuromodulation of Epileptogenicity by Autonomic Training known as NEAT. This involves training individuals to modulate their skin conductance as a surrogate measure for their autonomic nervous system activity.
Subsequently, | utilise ultra-high-field 7T MRI and EEG to examine the impact of this modulation on global brain dynamics and epileptogenicity.

I have a particular interest in how the function of very fine scale anatomy in the epileptic brain, such as in cortical layers, differs from the healthy brain. This can be used to map areas of epileptic tissue that can be very difficult or treat and are impossible to locate using existing neuroimaging tools such as structural MRI or PET. Crucially, improving the mapping of altered brain function within these layers can potentially inform pharmaceutical intervention and surgical planning

For my PhD i map the human brain development at new spatial resolutions using artificial intelligence and, 7T MRI. I work on image enhancement of the brain using deep learning and adapting code to various datasets