معرفی
Matthew M Nour is a psychiatrist (BM BCh MRCPsych) and neuroscientist (PhD) holding an NIHR Clinical Lectureship (equivalent to Assistant Professor) in the Department of Psychiatry at the University of Oxford. His research bridges cognitive science, computational neuroscience, and mental health, focusing on neural mechanisms underlying psychosis and schizophrenia through advanced neuroimaging and computational modeling techniques.
His academic training includes:
- Medicine, Neuroscience, and Philosophy at the University of Oxford (2006–2012)
- PhD in Cognitive and Computational Neuroscience at University College London (2018–2022), supervised by Prof Ray Dolan (UCL) and Prof Zeb Kurth-Nelson (DeepMind)
Dr. Nour investigates how the brain constructs 'cognitive maps' for environmental inference and outcome prediction, with specific emphasis on dopamine's role in decision-making/memory and schizophrenia pathophysiology. His work integrates functional MRI, multivariate neural decoding, and computational modeling to translate neuroscience findings into clinical psychiatry applications, particularly in psychotic disorders.
His publication record shows consistent methodological evolution from dopamine-receptor neuroimaging (eLife 2019) to computational psychiatry approaches analyzing semantic trajectories in schizophrenia (PNAS 2023), reflecting a trajectory toward AI-driven mental health diagnostics.
Key recognitions include:
- Wellcome Trust Clinical PhD Fellowship (2018)
- NIHR Clinical Lectureship in Psychiatry (2022)
As a clinical academic, he secures competitive national research funding while maintaining active clinical psychiatry practice. His GitHub repositories demonstrate leadership in developing open computational tools for neuroscience research, though no formal advisees are publicly documented. Current projects focus on technological applications for understanding collective delusions ('technological folie à deux') and neural oscillation modeling.
His work operates at the critical intersection of clinical psychiatry, cognitive neuroscience, and artificial intelligence, with growing emphasis on computational approaches to mental health diagnostics and treatment development.
