I work with a wide range of technologies in my research. My particular expertise is in R, Julia and Stata, although I have some experience with Python as well and will write an optimised C/C++ routine for some computationally intensive bits when push comes to shove.

I am a great advocate of open source software and try to make the source code I produce in the context of my research openly available whenever I think it might be of use to others as well.

R packages

  • chunkwise: An R package that contains an optimised C++ routine to read and process large text files in chunks. (This comes in useful when you have to deal with a huge .csv file of several GB on your mid-tier work notebook, for example.)

Data sets

  • plz-ags-matching: A data set that contains a shape file of the boundaries of all PLZ-AGS (postal code–municipality) combinations in Germany and a correspondence between PLZ and AGS identifiers, based on openly available data.