Neurobiology & genetics — Department of Psychiatry

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The Computational and Molecular Neuroscience Research Group is a multidisciplinary laboratory specialized on the intersection of computational and molecular methods to study neurodegenerative diseases. The computational methods entail mainly Artificial Intelligence and Bioinformatics, while the molecular side brings state of the art multi-culture iPSC models of disease and high throughput screening. We are especially interested in Alzheimer's and Parkinson’s disease, and how we can use the computational and molecular methods mentioned above to find new drug targets and therapies. We have three main areas of activity: better understanding disease to identify new therapies; discovering biomarkers to enable preventative trials; and validating findings in advanced cell models of disease.

Computational and Molecular Neuroscience

People with mental illness have a markedly shorter life expectancy than the general population, largely because of preventable cardiometabolic disease. We are interested in understanding this not simply as a comorbidity, but as part of the biology of these conditions, from the early, at-risk stages through to chronic severe mental illness.

Metabolic Brain and Body

We are dedicated to testing and developing new ways of improving treatments for psychiatric disorders, and maintaining brain health during aging. A significant proportion of people suffering from disturbances of mood and memory, do not respond to the available medication, and so there is an urgency to supplement or provide an alternative to current therapies.

Neurobiology and Experimental Therapeutics

Principal Investigators

Noel Buckley

Professor of Neurobiology

Philip Burnet

Professor of Neuroscience

Paul Harrison

Professor of Psychiatry; Associate Head of Department (Research)

Naomi Wray

Michael Davys Chair of Neuroscience (Psychiatric Genomics)

Charles Newton

Cheryl & Reece Scott Professor of Psychiatry

Alejo J Nevado-Holgado

Associate Professor