Daniel Zünd joined the Mansueto Institute for Urban Innovation in 2017 after completing his MSc in Computer Science and doctoral studies in Architecture/Urban Planning from ETH Zurich. He is enthusiastic about researching the fundamental laws of urban systems and their application to the real world. His goal is to find properties that can improve the quality of life in cities with minimal intervention. His previous work focused on the development of tools to support the urban planning and decision-making process, taking non-linear, self-organizing dynamics into account.  The tools have been applied in different large-scale projects in Switzerland and Singapore. Daniel has been a lecturer at ETH Zurich, worked for different companies as a software engineer, and built his own startup company.