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Associate Professor of Theoretical Statistical and Biological Physics
Vrije Universiteit Amsterdam and Ludwig-Maximilians-Universität München
Copyright: Courtesy of Prof. Broedersz
Living cells consist of assemblies of a large number of interacting components operating far from thermal equilibrium. The non-equilibrium nature of such assemblies manifests over a range of length scales, from the power stroke of a molecular motor to the movement of a whole cell. Such non-equilibrium processes can control the spatiotemporal organization of functional biological systems.
By observing the emergent organization in such systems, we obtain a wealth of statistical data. I will discuss how we can use a statistical mechanics approach on such data to unravel the underlying physics of living systems. First, I will discuss how one can extract information from steady-state fluctuations in active biological assemblies, such as cilia, flagella and cytoskeletal networks.
Finally, I will discuss how statistical physics can help to elucidate the dynamics of cells migrating in confined geometries. Taken together, these examples illustrate how approaches grounded in statistical physics help to unravel emergent behaviors central to the function of soft living systems.