Maximilian Schiffer is an assistant professor of operations and supply chain management at TUM School of Management, Technical University of Munich. Before joining TUM, he was a visiting postdoctoral scholar at Stanford University and a postdoctoral scholar at RWTH Aachen University. He is an associate member of the GERAD. Max received a Ph.D. degree in operations research from RWTH Aachen University in 2017. His expertise lies in in the field of operations research and management science, specifically in dynamic programming, (mixed) integer programming, metaheuristics, exacts, robust optimization, machine learning, and forecasting, applied to a variety of complex application fields, e.g., transportation problems, supply chains, production networks, and big data. Max's research on electric vehicles and logistics networks with intermediate stops has been awarded with numerous prizes, e.g., the INFORMS TSL Dissertation Prize and the GOR Doctoral Dissertation Prize. He is currently serving on the editorial board of OR Spectrum and on the TSL Dissertation Prize committee.
Max's research focuses on developing operations research and prescriptive analytics methods to solve central societal problems, especially in the field of mobility and transportation. To this end electric vehicles, autonomous mobility on demand systems, and inter and multi-modal transportation, including multi-stakeholder perspectives, are at the core of his research. His interdisciplinary work in this field has been recognized beyond the field of operations research in robotics, computer science, and transport engineering, e.g., by a best paper award from IEEE Conference on Intelligent Transportation Systems.
When not at work, Max enjoys spending time with his wife and his kids, mathematical puzzles, and any kind of outdoor sports.