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Dr James Cole
90 High Holborn
Dr James Cole profile picture
  • Associate Professor in Neuroimage Analysis
  • Dept of Computer Science
  • Faculty of Engineering Science
I am Associate Professor of Neuroimage Analysis at UCL, based jointly between the Centre for Medical Image Computing (CMIC) and the Dementia Research Centre (DRC), where I have worked since 2019. I also currently hold a UKRI Innovation Fellowship focusing on multi-modality neuroimaging models of the ageing brain.

Prior to joining UCL I was based at the Department of Neuroimaging, King's College London from 2017. I also spent 4 years working in the Computational, Cognitive & Clinical Neuroimaging Laboratory (C3NL) at Imperial College London, particularly focusing on HIV and traumatic brain injury research and worked at the UCL Institute of Neurology, as part of the Huntington's Disease research group, from 2011-2013.

My PhD was completed at the Social, Genetic & Developmental Psychiatry (SGDP) Centre, King's College London, where I focused on genetic influences on brain structure (measured using neuroimaging) in people with major depressive disorder.

Research Groups
Research Themes
Research Summary
My research uses neuroimaging to understand the relationship between ageing and diseases in the brain, particularly dementia. I have taken a trans-diagnostic approach across my career and I am interested in how measures of brain structure and function can help us understand how ageing and brain diseases affect people differently.

Particular interests include the application of machine-learning techniques to neuroimaging data and the integration of neuroimaging with other biological data sources, such as genetics, epigenetics and fluid biomarkers. Diseases I've worked on include major depressive disorder, Huntington's Disease, Alzheimer's Disease, traumatic brain injury, HIV, Down syndrome, Prader-Willi syndrome and multiple sclerosis. My research has often used multiple neuroimaging modalities in longitudinal studies to better understand trajectories of brain health in these diseases and help health outcomes for individual patients.

Alongside improving understanding of the ageing brain and related diseases, I am focusing on translating neuroimaging into clinical practice. I firmly believe that integrating quantitative analysis of neuroimaging data into clinical protocols for diagnosis, treatment and long-term care planning can be beneficial for people suffereing with neurological or psychiatric diseases, and I am working with researchers, clinicians and industrial partners towards that goal.

Teaching Summary

I am a lecturer on the Information Processing in Medical Imaging module, run by the Department of Medical Physics.

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