26 April 2021
“We’d like to make complex dynamical systems better able to adapt to changing conditions”. Michael Mühlebach developed an interest in machine learning early on in his career. Over the course of his PhD, he designed learning and control algorithms for a balancing robot and a flying machine. While such research projects were based on hand-crafted solutions for the reliable operation of small-scale systems in a confined environment, Mühlebach is now looking to expand his research to the next frontier: as leader of the independent Learning and Dynamical Systems research group at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen, Mühlebach plans to focus his attention on large-scale dynamical systems that interact with complex environments. He joined MPI-IS on February 1, 2021. Mühlebach’s research is supported by the prestigious Branco Weiss and Emmy Noether Fellowships.