Professor Marc Goerigk
“In my research, I am looking at how to make decisions – namely the best decision out of many possible alternatives when there are still uncertainties. In other words, I don't yet know exactly what I want to find, but I still want to find the best possible solution.
Conventional calculation methods quickly reach their limits with such questions. I work with a combination of algorithms and mathematical models to look for solutions that are robust to uncertainties in the underlying data.
My area of expertise is methods of robust combinatorial optimisation. These can be applied to a wide range of cases, such as traffic optimisation, but also to questions of planning in companies. However, I am not so much interested in the specific, single case. I find the abstract much more beautiful than the concrete. Because if you get stuck on the specifics, the details come to the fore, which can vary greatly from problem to problem. It is much more elegant to find the structures that are present in every problem of a certain type."
More on his research
Professor Goerigk's research focuses on how to get the most out of available data when making decisions. To this end, he combines robust optimisation problems with data-driven algorithmic approaches to ensure that the long-term consequences of our actions in an uncertain environment are as beneficial as possible.
