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Patrick Schratz

Data Scientist

Friedrich-Schiller-University Jena

Ludwig-Maximilian-University Munich

Biography

I am a PhD candidate within the GIScience group at the Department of Geography. I focus on the application of statistical- and machine learning techniques to address research questions related to environmental issues.

At the same time I am working for the Department of Statistics at LMU Munich to develop the R package framework mlr3. Currently I also maintain the mlr package.

Besides the scientific part my interests lie in the development of programming solutions to simplify todays data science challenges. I am working in a reproducible manner and actively working on promoting the idea of reproducible research in science. I like to write about the Linux world, the R programming world and other technical topics that I find interesting.

Interests

  • Statistical and machine-learning modeling
  • Reproducible research
  • Open-source development
  • Remote Sensing
  • Linux
  • Server Administration (HPC)
  • (Geo)-statistics

Education

  • M.Sc. in Geoinformatics, 2016

    Friedrich-Schiller-University Jena

  • B.Sc. in Geography, 2014

    Friedrich-Schiller-University Jena

Publications

Recent Posts

Reproducibility of parallel tasks in R

Reproducibility is important. More important than ever. However, making a project reproducible is not as trivial as it sounds.

Using ccache to speed up R package checks on Travis CI

Introduction The problem The mlr use case The solution Code Introduction Continuous integration checking for R packages is usually …

Emoji support for Notion.so on Linux

Notion.so is a great tool for various tasks. I use it as a personal wiki but also for work-related notes. Unfortunately there is no …

i3wm: Introducing my Linux desktop setup

Introduction The advantages of i3wm The disadvantages of i3wm My I3wm setup Introduction After switching from Windows/macOS to Linux …

Arch Linux setup guide tailored towards data science, R and spatial analysis

This guide reflects my view on how to setup a working Arch Linux system tailored towards data science, R and spatial analysis. If you …

Teaching

University of Munich

I teach within the Münchner R Kurse hosted by the Computational Stats group of LMU Munich.

University of Jena

Current

  • Geo 404: Applied Geoinformatics (WS 1920, M.Sc.)

Past

  • Geo 404: Applied Geoinformatics (WS 1718, M.Sc.) - TA
  • Geo 311: Geoinformatics III (WS 1617, B.Sc.) - TA