Martin’s research interest is at the interface of computer science, economic and management science. Computational economics is based on modelling economic problems and simulating these models to compute, approximate and optimize solutions to the economic problems. Methodologies such as computational and artificial intelligence, agent-based modelling and analytics are among the most common ones in computational economics. Martin’s research projects span from system and algorithm modelling to simulation design and optimization problems.
His work explores:
- how metaheuristics, such as evolutionary algorithms, can be used to compute solutions to economic problems
- how agent-based modelling and system dynamics can be applied to topics in industrial organization and strategic management
- how serious simulation games can be modelled and implemented in research and education
- how analytics and computational methodologies can enhance managerial decision making (Managerial Analytics)
Martin received his Ph.D. in Economics from WHU – Otto Beisheim School of Management in December 2014. He has been involved in numerous lecturer and teaching assistant positions during his Ph.D. and as a post-doctoral researcher in 2015. Martin received two visiting research scholarships (India 2013, Japan 2015), the best Ph.D. award from Infosys/India in 2013 and the best student paper award from the Association for Business Simulation and Experimental Learning in 2014. From 2012 to 2014 he has been involved in joint research projects with the London School of Economics and Google Inc. in the Google Summer of Code Program. Before he started his doctoral studies, he received his MBA from WHU, worked as the Head of IT for three years in a small and medium size company and graduated from the TU Dortmund with a Diploma in Computer Science.