The Neural Data Science group led by Alexander Ecker works at the interface of machine learning and computational neuroscience. We develop new methods and algorithms to make sense of large-scale neuroscience data. Moreover, we work on novel approaches to computer vision based on insights we gain from biological vision. Currently, the Neural Data Science Group has 5 PhD students and 1 postdocs. We collaborate very closely with the groups of Matthias Bethge, Fabian Sinz and Thomas Euler at the University of Tübingen, as well as with Andreas Tolias at Baylor College of Medicine, Houston, TX, USA. We are currently establising collaborations at the Göttingen Campus with several groups, including Tim Gollisch, Christoph Kleinn, Eberhard Bodenschatz and Viola Priesemann.