Dr Andrea Luppi
Contact information
Research groups
Andrea I. Luppi
BA, MSc, MPhil, PhD
Wellcome Early Career Fellow
- Computational neuroscience
- Information synergy
- Network science
- Computational modelling
- Multimodal neuroimaging
- Neuroscience of consciousness
- Artificial Intelligence and Neuro-AI
Complex Systems Neuroscience
I am a computational and cognitive neuroscientist interested in how the brain gives rise to consciousness and flexible cognition. I work in complex systems neuroscience: 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. My background is in philosophy, and 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, anesthesia, 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 resurces for Neuro-AI training), improving the research culture in neuroscience, and promoting access to higher education (‘Ten simple rules for aspiring graduate students’).
I regularly devote time to method-benchmarking efforts for the community, to increase reproducibility and credibility of neuroscientific results. Recent efforts include assessment of 700+ data-processing pipelines for trustworthy functional connectomics with fMRI (paper; interactive tool) and assessing the translational potential of macaque brain gene expression (paper; repo).
If you share any of the interests above, please get in touch!
Recent publications
Competitive interactions shape mammalian brain network dynamics and computation.
Journal article
Luppi AI. et al, (2026), Nat Neurosci
Controlling the human connectome with spatially diffuse input signals.
Journal article
Betzel R. et al, (2026), Commun Biol
Towards an informational account of interpersonal coordination.
Journal article
Chidichimo E. et al, (2026), Nat Rev Neurosci, 27, 121 - 137
Convergent transcriptomic and connectomic controllers of information integration and its anaesthetic breakdown across mammalian brains.
Journal article
Luppi AI. et al, (2026), Nat Hum Behav
Neurotransmission-modulated whole-brain computation captures full task repertoire.
Journal article
Deco G. et al, (2026), Cell Rep, 45
