BIT Lab

The BIT Lab is a research group on Complex Systems working on a broad variety of topics—including biology, computational neuroscience, linguistics, complex networks, econophysics, or social systems. A current focus is on the mathematical modeling of Darwinian evolution (mainly at a viral quasispecies level), including mechanisms for the emergence of biological complexity; and on studying  mirror asymmetry in the brain (how it evolved, how and why it appears broken in humans and other animals). The Lab’s name reflects our variety of topics and tools—BIT may stand for Brain, Intelligence, Topology; but also Biology, Information Theory; etc. We combine empirical data with advanced mathematical techniques (including information theory, machine learning, differential equations, multi-objective optimization, game theory, or agent-based modeling) to tackle problems in Complex Systems usually with an evolutionary perspective.