Torsten successfully defended his PhD on Thursday, November 12th with summa cum laude! In his PhD, Torsten developed two important methods for reverse engineering regulatory networks. One method, called response logic, allows to reverse engineer the topology of a network from perturbation data (Gross et al, 2019). A second method allows to identify which perturbation experiments would be optimal to quantiatively describe the network (Gross et al. 2020). The works were presented at the ISMB 2019 and 2020, and received prices for best student paper and best talk, respectively! Torsten will continue his career in London to work on machine learning application in health and biotechnology! We wish Torsten all the best for his future career!