CSTB team: Complex Systems and Translational Bioinformatics

BIONICS (Biology and Nature Inspired Complex Systems)

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BIONICS (Biology and Nature Inspired Complex Systems)

BIONICS has expertise in modeling complex systems and nature-inspired optimisation algorithms, including artificial evolution and artificial immune systems. These inherently massively parallel and asynchronous systems are constitutive of computer science in the 21st century, composed of massively parallel computers in networks.

The applications of nature-inspired complex systems are IT security and the search for patterns (artificial immune systems), optimization and artificial intelligence (artificial evolution), ecosystems of calculation and education(biological ecosystems) and of course, Participatory, predictive, preventive and personalized translational medicine (which is the case for all complex systems). Indeed, on the basis of observed data (Participative), we will try to determine Predictive models allowing to set up a Prevention in a Personalized way, for the Factory of the Future, for computer security, for health of patients (patient networks) and for education (student / teacher networks).