Contact information
Background
Matthew studied Medicine, Neuroscience and Philosophy at the University of Oxford. He subsequently combined postgraduate medical training with clinical neuroscience research, first as an Academic Foundation Doctor (Oxford), and later as an MRC Clinical Research Fellow (MRC London Institute of Medical Sciences & Imperial College London) and an NIHR Academic Clinical Fellow in Psychiatry (Institute Psychiatry Psychology and Neuroscience, King's College London).
In 2018 Matthew was awarded a Wellcome Trust Fellowship to complete a PhD in Cognitive and Computational Neuroscience at UCL under the supervision of Professor Ray Dolan FRS (UCL) and Professor Zeb Kurth-Nelson (Google DeepMind).
Matthew was appointed as an NIHR Clinical Lecturer in Psychiatry at the University of Oxford in 2022 and is currently a Senior Clinical Researcher and Consultant Psychiatrist at the University. He holds honorary appointments at UCL and KCL, and was formerly a member of the Google DeepMind NeuroLab.
Matthew M Nour
BM BCh MA(Oxon) PhD MRCPsych CCT
NIHR Clinical Lecturer in Computational Psychiatry
Computational psychiatry, cognitive neuroscience and AI in mental health
Research
My interests span cognitive neuroscience, AI in psychiatry ("computational psychiatry"), and psychopharmacology.
I am fascinated by how brain activity relates to cognition, affect, and behaviour, and believe a deeper understanding of this relationship will help us develop better clinical tools and treatments in psychiatry.
To investigate these questions, I use functional and molecular brain imaging (fMRI, MEG, PET), machine learning for neural data analysis, computational modelling of behaviour, natural language processing (NLP), and pharmacological interventions.
In my pre-doctoral work (at KCL and Imperial) I investigated the role of dopamine in the pathophysiology of psychotic disorders using functional neuroimaging (fMRI, PET) and computationally-informed behavioural tasks. During my PhD (at UCL) I used MEG and multivariate neural decoding to measure spontaneous memory reactivations (replay) in schizophrenia.
My current work uses functional neuroimaging (MEG, fMRI), naturalistic tasks, and AI models (inc. large language models) to investigate neuro-cognitive processes in psychiatric populations, particularly psychosis.
