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个人简介
With backgrounds in math, computer science, philosophy and epistemology, I think of myself as a "computational natural scientist" (Greg Chaitin described me as a "new kind of practical theoretician"). I am the head of the Algorithmic Nature Group, a lab that approaches natural phenomena from an algorithmic angle in which living (and also nonliving) matter can be studied and reprogrammed as computing software.
I pioneered and led the study and the applications of numerical approximations to non-computable functions that exploit and unleash the full power of universal measures of complexity, that is, measures that characterize the properties of an object independent of the ways in which such an object can be described.
Building upon my previous results and currently collaborating with brilliant researchers leaders in their own fields, I am advancing a conceptual framework and numerical methods for weak signal and perturbation analysis in which sensitivity to small changes is key to understanding and discovering generative mechanisms of complex systems from limited observations and often scrambled data, especially in the context of genetic, structural and molecular biology.
My tools based upon computability and algorithmic information theories are thus better equipped to contribute to better approach the fundamental challenge in science (and data science) of causality, in particular to generate mechanistic models to reveal first design principles of dynamic evolving systems. The range of application of my work is thus very general and aims to design effective intervention tools to steer the causal content and fate of all sort of complex systems.
I also have strong interests in spatial computing, in the trade-offs between, and the interplay of, complexity measures; and in topics at the intersection of computation and philosophy, such as simulation, reality and fine-tuning, all of which I pursue by performing actual numerical experiments with computer programs as possible models of the world.
研究兴趣
论文共 200 篇作者统计合作学者相似作者
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Organisation for Economic Co-operation and Development eBooks (2023)
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arxiv(2023)
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Artificial Intelligence for Sciencepp.679-691, (2023)
Ross D. King,Héctor Zenil
Organisation for Economic Co-operation and Development eBooks (2023)
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