About me


No matter for whatever reason you came across this website in the first place, feel free to stay here for a while and have a look.

What to expect from this place?

These pages contain a brief description about me (see below) and my research activities – including a list of publications, R-packages that I have been contributing to, as well as a selection of scientific events (conferences, workshops, hackathons, etc.), where I have been involved in the organization.

Who am I?

I am a data scientist, who at the same time happens to work as a postdoctoral researcher in the group of Information Systems and Statistics at the University of Münster, Germany. Previously, I have received academic degrees in Data Analysis and Data Management (B.Sc.) and Data Science (M.Sc.) – both from the Statistics Department of the TU Dortmund University, Germany – as well as a PhD from the Department of Information Systems at the University of Münster, Germany.

Moreover, I consider myself an R-enthusiast. That is, I really enjoy to program, optimize, analyze and visualize almost anything with the statistical programming language R.

Data Science in a Nutshell

If you are now wondering what a data scientist actually is (and does), let me try to help you. Data science is a very interesting, important and recently emerging research topic, which combines technologies from computer science and statistics to (pre-)process data in a meaningful way, and afterwards extract and analyze the information contained within that data.

Research Topics

Of course, data science is of high importance and interest for several applications and unfortunately, I do not have the time to perform research in all of them. Instead, I decided to focus on a subset of topics that I found of particular interest (in alphabetical order):

  • Automated Algorithm Selection
  • Benchmarking
  • (Black-Box) Continuous Optimization
  • Data Science
  • Discrete Optimization (mainly TSP)
  • Evolutionary Computation
  • Exploratory Landscape Analysis
  • Machine Learning
  • Multi-Objective Optimization