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Dr Thomas Hope
Wellcome Centre for Human Neuroimaging
12 Queen Square
London
WC1N 3AR
Appointment
  • Research Associate
  • Imaging Neuroscience
  • UCL Queen Square Institute of Neurology
  • Faculty of Brain Sciences
Biography

I have been a management consultant and an entrepreneur, and I'm also a qualified barrister.


I began my research career with a focus on artificial intelligence, using rule-based systems, machine learning and evolutionary robotics for military applications. I studied for a PhD at the University of Padova, Italy, with Prof Marco Zorzi, conducting research on the structure of semantic representations of number. On returning to the UK, I worked with Prof Charles Vincent and Imperial College London, studying 'clinician resistance' to new artificial intelligence technology in medicine.


I joined University College London to work with Prof Cathy Price, using structural and functional brain imaging to study the neurobiology of basic language and motor functions. I then won a post-doctoral fellowship from the Stroke Association, to study patients' recovery trajectories on the ward - and to develop the tools and methods required to make sense of the heterogeneous patient data that describe those trajectories. My most recent work focuses on inter-patient variability in treatment responses, aiming both to develop more personalised treatments for neurological disorders, and to better understand the way the brain adapts to interventions.

Research Summary
For more than a century, researchers and clinicians have sought simple (low-dimensional) accounts of brain disorders, but the brain has refused to comply. The failure of simple solutions has encouraged the view than no solutions exist; that individual patients’ symptoms are simply too complex and variable to be predicted or understood. As a result, millions of these patients receive inadequate treatment, even in the world’s most advanced healthcare systems. But complexity is not the same as inconsistency. My research aims to make sense of that complexity, using computational models and machine learning to derive a more personalised medicine for these patients, and to develop insights from the disordered brain that can enhance our understanding of the healthy brain.

Teaching Summary

I give regular lectures for UCL MSc courses in stroke medicine and clinical neuroscience, and also serve as an ad hoc lecturer to external UG and PG classes. I regularly supervise student research projects, and have co-supervised five PhD students completion with a further three ongoing. And I serve as an examiner for student theses and PhD upgrades.

Appointments
2017 Senior Research Associate Wellcome Centre for Human Neuroimaging University College London, United Kingdom
2011 – 2017 Research Associate Wellcome Centre for Human Neuroimaging University College London, United Kingdom
2001 – 2005 Scientist (Artificial Intelligence)   Defence Evaluation and Research Agency, United Kingdom
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