David got a Master’s degree in the field of Computational Neuroscience at the Bernstein Center for Computational Neuroscience Berlin. In his Master’s thesis he demonstrated that bio-inspired, fully vision-based, flocking algorithms can serve as robot controllers in mobile robots to produce dynamic flocking behaviors similar to those observed in natural groups (e.g. fish, birds). His main research interests are technical solutions inspired by natural systems, collective intelligence and swarm robotics. At SCIoI he works as a doctoral researcher for Project 34, in the group of Pawel Romanczuk in close cooperation with the Max Planck Institute for Human Development (Dominik Deffner, Ralf Kurvers) and with the University of Lübeck (Heiko Hamann). As a doctoral researcher, he tries to gain insights on how social and private information is balanced during collective problem solving in human groups and how these weighing strategies can be synthesized as swarm robotic applications.