Imperial College London

Dr Fernando E. Rosas

Faculty of MedicineDepartment of Brain Sciences

Research Associate







Electrical EngineeringSouth Kensington Campus





I am a Postdoctoral Researcher at Imperial College London, based at the Centre For Psychedelic Research (Department of Medicine), and also affiliated with the Centre for Complexity Science, the Department of Mathematics, and the Data Science Institute.

My current work is focused in the development of tools to enable a deeper understanding of the interdependencies that can take place in systems composed of many interacting agents. I am interested in the most fundamental and theoretical aspects of this problem, and also in the consequences and applications in diverse contexts, related to basic sciences, engineering and arts.

Although we currently live in a world characterized by interrelationship and connectivity, the interdependencies that can exist between three or more variables or stochastic processes are poorly understood. Improving this understanding is paramount for future advances in neuroscience, genetics, network science and many other fields that explore systems composed by many interacting variables. Moreover, this understanding might prove to be fundamental in our post-modern society, where the surprising outcomes of recent political polls (e.g. the Brexit referendum and the latest US presidential election) are revealing the limitation of our current understanding of social behaviour in a highly-interconnected world.



Rosas FE, Mediano PAM, Luppi AI, et al., 2022, Disentangling high-order mechanisms and high-order behaviours in complex systems, Nature Physics, ISSN:1745-2473

Scagliarini T, Marinazzo D, Guo Y, et al., 2022, Quantifying high-order interdependencies on individual patterns via the local O-information: Theory and applications to music analysis, Physical Review Research, Vol:4, ISSN:2643-1564

Peill JM, Trinci KE, Kettner H, et al., 2022, Validation of the psychological insight scale: a new scale to assess psychological insight following a psychedelic experience, Journal of Psychopharmacology, Vol:36, ISSN:0269-8811, Pages:31-45

Dekkers G, Rosas F, van Waterschoot T, et al., 2022, Dynamic sensor activation and decision-level fusion in wireless acoustic sensor networks for classification of domestic activities, Information Fusion, Vol:77, ISSN:1566-2535, Pages:196-210

Mediano PAM, Rosas FE, Farah JC, et al., 2022, Integrated information as a common signature of dynamical and information-processing complexity, Chaos: an Interdisciplinary Journal of Nonlinear Science, Vol:32, ISSN:1054-1500, Pages:1-12

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