Friedemann Zenke studied physics at the University of Bonn, Germany, and the Australian National University in Canberra, Australia, initially focusing on experimental hadron physics. He then shifted to computational neuroscience for his Ph.D. with Wulfram Gerstner at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, where he worked on the theory of synaptic and homeostatic plasticity in spiking neural networks. Subsequently, Friedemann joined Surya Ganguli’s group at Stanford as a post-doc to study the role of complex synaptic dynamics as a remedy for catastrophic memory interference in deep neural networks. Later he moved to the University of Oxford as a Sir Henry Wellcome fellow to work in Tim Vogels’ group. During this time, he further developed functionally inspired learning rules for spiking neural networks. In 2019 Friedemann started his research group at the Friedrich Miescher Institute for Biomedical Research (FMI) in Basel, Switzerland. His group continues to tackle theoretical questions related to learning and memory in biologically inspired neural networks.