Marc Goerigk

Professor Marc Goerigk holds the Chair of Business Decisions and Data Science at the Faculty of Economics, University of Passau, a position he has held since 2023. He previously held academic positions at TU Kaiserslautern, Lancaster University Management School, and the University of Siegen. He earned his doctorate in applied mathematics from the University of Göttingen and is recognized as a leading researcher in robust optimization.

• PhD in Applied Mathematics, University of Göttingen
• Research and teaching at TU Kaiserslautern, Lancaster University, University of Siegen

His research centers on robust combinatorial optimization, focusing on decision-making under uncertainty. He develops mathematical models and algorithms that yield solutions resilient to data uncertainties, with applications in traffic, logistics, and corporate planning. He emphasizes abstract problem structures over specific instances, seeking generalizable optimization frameworks. His work bridges operations research, data science, and algorithm design, aiming to enhance decision robustness in complex systems.

The recent publications highlight a strong trend in robust optimization, particularly in multi-stage and recoverable models, data-driven scenario generation, and interpretable optimization. His work increasingly integrates machine learning concepts with classical optimization, especially in explainability and preference modeling. Applications span scheduling, routing, project management, and logistics, demonstrating both theoretical depth and practical relevance.

Scientific Awards:

• Most research-intensive business professor under 40 in the German-speaking world (WirtschaftsWoche, 2024)

Professor Goerigk leads a research group focused on optimization under uncertainty. He supervises doctoral and master's students in seminars on optimization and data science. He teaches courses such as Decision Making Under Uncertainty, Combinatorial Optimization, and Artificial Intelligence and Optimization. His work is supported by ongoing research in robust modeling and algorithm development, with future directions likely involving deeper integration of AI and optimization for real-world decision support systems. No specific grants are mentioned, but his prolific output suggests active funding.

He leads the Chair of Business Decisions and Data Science at the University of Passau, where his team works on theoretical and applied aspects of robust optimization, scenario modeling, and decision support systems.