
Driving Innovation at the Intersection of AI, Neuroscience, and Healthcare
The Computational Hub is the engine room of our research centre. In this vibrant hub, advanced algorithms, simulations, and AI models come to life to solve some of the most complex challenges in brain science and healthcare innovation.
We bridge the gap between complex data and actionable solutions.
By integrating cutting-edge artificial intelligence, neuroscience, and computational technology, we generate novel insights that advance understanding of brain function and disorders. Our work is paving the way toward improved diagnostics, personalised therapies, and new healthcare innovations that will shape the future of brain health.
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We investigate the brain as a complex, dynamic system in which structure, development, function, and behaviour are deeply interconnected through continuous feedback loops. Rather than viewing the brain as a static organ, we explore how its structure and function adapt and influence each other over time.
Key research themes
We focus on core themes that integrate AI and neuroscience to decode brain function, advance drug development, and drive innovations in brain health and behaviour.

Mapping Brain Structure and Function
Understanding how neural circuits develop and reorganize, from individual cells to complex network interactions.

Brain Disorders & Treatments
Applying data-driven approaches to uncover mechanisms and potential interventions for neurological and psychiatric conditions.

Dynamic Brain
Modeling
Designing computational models to capture how the brain evolves and reorganizes itself.

Neuroinformatics and Big Data Integration
Leveraging large-scale brain data from diverse sources to build comprehensive computational frameworks that enable holistic brain analysis.

From Models to Behaviours
Bridging computational insights with observable cognitive and behavioral outcomes.

AI-Driven Drug Development
Harnessing advanced machine learning and computational modeling to accelerate the discovery and optimization of novel therapeutics for brain disorders.
We actively partner with industry leaders, academic institutions, and healthcare organizations to translate our computational advances into real-world applications. Whether co-developing AI tools for neuroimaging analysis or designing predictive models for clinical use, our collaborative approach ensures that innovations emerging from the Computational Hub have tangible, measurable impact.