Sebastian Pokutta's research concentrates on combinatorial optimization and polyhedral combinatoris, and in particular focuses on cutting-plane methods and extended formulations. These methods are essential in understanding the expressive power of various optimization paradigms and are used to solving large-scale optimization problems. His research is motivated by exploring the limits of computation and it is also partly motivated by applications in supply chain managment, production planning, mechanical engineering, and especially finance. Sebastian Pokutta received both his master’s degree and Ph.D. in mathematics from the University of Duisburg-Essen in Germany. Subsequent to his graduate studies he was as a postdoctoral fellow at the MIT Operations Research Center and worked at IBM ILOG, KDB Krall Demmel Baumgarten, MIT, and Technische Universität Darmstadt.