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.
et al., 2020, Playing with fear: a field study in recreational horror, Psychological Science, Vol:31, ISSN:0956-7976, Pages:1497-1510
et al., 2020, Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data, Plos Computational Biology, Vol:16, ISSN:1553-734X
et al., 2020, An operational information decomposition via synergistic disclosure, Journal of Physics A: Mathematical and Theoretical, Vol:53, ISSN:1751-8113, Pages:485001-485001
et al., 2020, A mechanistic model of the neural entropy increase elicited by psychedelic drugs, Scientific Reports, Vol:10, ISSN:2045-2322
et al., 2020, Whole-brain models to explore altered states of consciousness from the bottom up, Brain Sciences, Vol:10, ISSN:2076-3425