PACE

In PACE, the DeME group is interested in deriving methods and models to understand the emergence and the evolution of information in self-assembling biochemical systems. More specifically we are developing approaches for designing high-dimensional experiments, where models direct a recursive and evolutionary search, looking for the interactions among molecular components that yield desired levels of emergent organization. Focused on artificial cell design in PACE, we develop Model-based Genetic Algorithms where an intelligent and efficient exploration of a combinatorially complex space is guided by models. We carry out research in evolutionary stochastic optimization procedures, in robustness, and noise control.

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