Professor & Principal Investigator, Computational Neuroscience Laboratory, ARC Future Fellow, NHMRC Investigator (Emerging Leadership), CIFAR Azrieli Global Scholar, Brain, Mind & Consciousness program, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University.
Background
My research vision is to develop next-generation generative models of how brain functions through a multidisciplinary approach combining engineering, physics, and machine-learning approaches that are motivated by questions grounded in neurobiology. We will achieve this vision through three integrated research themes: developing multi-modal (e.g., functional MRI, diffusion MRI, EEG) and multi-scale Bayesian methods – i.e., dynamic causal modelling (DCM) – to characterise brain network dynamics and their reorganisation with different brain pathologies; exploiting the understanding of biological neural networks to inform the design of novel artificial neural networks using the framework of active inference; and using classical psychedelics (e.g. LSD and Psilocybin) in combination with computational modelling to understand neural mechanisms underlying altered states of consciousness and explore therapeutic benefits for treating psychiatric diseases like depression and anxiety.
Miscellany
Contact details: Room 116, 770 Blackburn Road, Clayton 3800, Australia. E-mail: adeel.razi[@]monash[DOT]edu. Also active on Google Scholar, Researchgate, LinkedIn, Bluesky, and Twitter.