Andrea Luppi
Computational Neuroscientist
I am a computational neuroscientist interested in how the brain gives rise to consciousness and cognition. I view the brain as a complex system, and I integrate imaging modalities and computational modelling across species, drawing on network science and information theory to understand how the brain’s connectivity and dynamics support thought, perception, and awareness. Starting with degrees in philosophy, psychology, and neuroscience from the University of Oxford, I obtained a PhD in neuroscience from the University of Cambridge. After postdoctoral training at the Montreal Neurological Institute, I am now back as a Wellcome-funded Early Career Fellow in Oxford. I also hold a position at the Division of Information Engineering, University of Cambridge.
I view my work as using experimental methods to answer big-picture philosophical questions. A major focus of my research is understanding how brain networks reconfigure across different states — such as wakefulness, sleep, anaesthesia, and disorders of consciousness — and what these changes reveal about the neural mechanisms of information processing and conscious experience. I am also interested in bridging biological and artificial intelligence.
My work is interdisciplinary and collaborative to the core. Alongside my research, I advocate for interdisciplinary training and research (list of open resources for Neuro-AI training), improving the research culture in neuroscience, and promoting access to higher education (‘Ten simple rules for aspiring graduate students’).
Find out more about my research:
Link to my published paper: Competitive interactions shape mammalian brain network dynamics and computation
Link to an article in The Conversation about this work: How to build a digital ‘twin’ of the human brain – what existing models overlook
