معرفی
Martin Kies is a Research Fellow at Ulm University's Faculty of Mathematics and Economics, Department of Mathematics and Economics, and serves as Chief Executive Officer at LeverageData GmbH in Ulm, Germany. His academic work spans game theory, machine learning applications in economics, and microeconomic analysis of digital markets.
Dr. Kies completed his Diplom Wirtschaftsmathematik (equivalent to M.Sc. in Business Mathematics) at Ulm University between 2006 and 2012, followed by doctoral studies under Prof. Sebastian Kranz from 2012 to 2020. His teaching experience at Ulm University from 2013-2018 included seminars on Competition Policy, Empirical Industrial Organization, and sustainable cooperation using game theory and simulation.
His research focuses on the intersection of economics and computational methods. Key areas include game theory applications, particularly the Iterated Prisoner's Dilemma; machine learning techniques for economic forecasting; and microeconomic analysis of digital markets and competition policy. His publications demonstrate how computational approaches can provide new insights into traditional economic questions, with particular emphasis on reinforcement learning algorithms, time series analysis, and digital market structures.
Dr. Kies's scholarly work shows consistent application of computational methods to solve complex economic problems, with publications spanning game theory, machine learning applications in economics, and digital market analysis. His research demonstrates methodological innovation through the development of novel approaches for analyzing economic interactions using computational techniques.
