I am leading a research group on Autonomous Learning at the Max Planck Institute for Intelligent Systems in Tübingen. Before, I was postdoc fellow at the IST Austria in the groups of Christoph Lampert and Gašper Tkačik after being a working at the Max Planck Institute for Mathematics in the Sciences in Leipzig. I am interested in autonomous learning, that is how an embodied agent can determine what to learn, how to learn, and how to judge the learning success. I am using information theory and dynamical systems theory to formulate generic intrinsic motivations that lead to coherent behavior exploration – much like playful behavior. Furthermore, I develop methods to quantify autonomous behavior in robots and animals using information theory and manifold learning. I am also working on machine learning methods particularly suitable for internal models and learning from sequences.