Dr. Philipp Bekemeyer is head of the Group “Surrogates and Uncertainty Management” at the Institute of Aerodynamics and Flow Technology at the German Aerospace Center (DLR). Together with his team he is investigation how machine learning techniques can be used to tackle existing aerodynamic challenges. With an interest in wind turbines in subsonic conditions, commercial aircraft in transonic speeds and also supersonic configurations he has the ambition to industrialize ML techniques for a wide range of industrial-grade applications. Moreover, he is actively involved in several AIAA, GARTEUR and NATO AVT working groups with the aim of extending the usage of machine learning for aerospace. He has a Bachelor’s and Master’s degree in Aerospace Engineering from the Technical University Braunschweig, Germany as well as a Ph.D. from the University of Liverpool, UK.