Imperial College London

Dr Fernando E. Rosas

Faculty of MedicineDepartment of Brain Sciences

Honorary Research Fellow







Electrical EngineeringSouth Kensington Campus





I am part of the Centre for Psychedelic Research of the Department of Brain Sciences and the Centre for Complexity Science. My work focuses on the analysis of distributed complex systems, addressing problems at the interface between computational neuroscience, complexity science, and machine learning. In general terms, my work aims to reveal the fascinating principles that drive the computations performed by distributed multi-agent systems: how can they become more than the sum of their parts, perform tasks collectively that couldn't be achieved individually, and even give rise to novel features that were not predefined beforehand. These are exciting times to pursue these questions, as theoretical approaches can now be complemented by empirical investigations based on big data.

On the theoretical side, my research focuses on formulating novel mathematical frameworks based on foundational but elusive intuitions about how information is processed in distributed resource-constrained systems, which in turn lead to algorithms that enable new avenues of practical data analysis. My vision is that such analysis frameworks, which go beyond mere data fitting to truly reveal the inner workings of complex distributed systems, will be instrumental for future scientific advancements and technological breakthroughs. I am particularly interested in the potential of these tools to deepen our understanding of the inner workings of the human brain, and also our understanding of social scenarios involving collective experiences. I strongly believe that insightful
science can lead us to a better world where humans are empowered by novel technologies that provide means for them to thrive and foster their creativity and well-being.



Luppi AI, Girn M, Rosas FE, et al., 2024, A role for the serotonin 2A receptor in the expansion and functioning of human transmodal cortex, Brain: a Journal of Neurology, Vol:147, ISSN:0006-8950, Pages:56-80

Luppi AI, Cabral J, Cofre R, et al., 2023, Computational modelling in disorders of consciousness: closing the gap towards personalised models for restoring consciousness, Neuroimage, Vol:275, ISSN:1053-8119

Morales PA, Korbel J, Rosas FE, 2023, Thermodynamics of exponential Kolmogorov-Nagumo averages, New Journal of Physics, Vol:25, ISSN:1367-2630

Girn M, Rosas FE, Daws RE, et al., 2023, A complex systems perspective on psychedelic brain action, Trends in Cognitive Sciences, Vol:27, ISSN:1364-6613, Pages:433-445

Luppi AI, Mediano PAM, Rosas FE, et al., 2023, Reduced emergent character of neural dynamics in patients with a disrupted connectome, Neuroimage, Vol:269, ISSN:1053-8119, Pages:1-17

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