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 (DeepMind).

Matthew was appointed as an NIHR Clinical Lecturer in Psychiatry at the University of Oxford in 2022.

My research interests span cognitive neuroscience, computational psychiatry, and psychopharmacology.

I am fascinated by how brain activity relates to cognition, affect, and behaviour. I believe a deeper understanding of this relationship will help us develop better diagnostic and prognostic tools in neuropsychiatry, and ultimately lead to improved treatments. 

I use diverse tools including functional and molecular neuroimaging (fMR, 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 King's College London and Imperial College London) 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 index the dynamics of spontaneous memory reactivations (replay) in schizophrenia.

At Oxford, I will extend these research themes, and further explore the use of AI both as a model of cognition, and a tool for precision psychiatry.