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.
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
- (Black-Box) Continuous Optimization
- Data Science
- Discrete Optimization (mainly TSP)
- Evolutionary Computation
- Exploratory Landscape Analysis
- Machine Learning
- Multi-Objective Optimization