Hi! I am Ben, a more or less recent graduate from Zeppelin University and current student of statistics at Humboldt University, Berlin. Having studied the broad area of quantitative social sciences, I concentrated on statistics and behavourial psychology. In the latter, my focus was to developed enhanced modeling frameworks for analysing known phenomena.

Currently, I have the pleasure to be working in the ‘mobility team’ of the Mercator Research Institute on Global Commons and Climate Change. I am also part of research groups in computational linguistics and network science.

I strongly believe in the necessity of openness and interdisciplinarity in research, and I am always happy to collaborate - just hit me up!

Apart from academics, I have also gathered industry experience during student traineeships and internships in consulting, consumer analytics and finance.

  • Statistical Methodology
  • (Bayesian) Networks
  • Econometrics
  • Behavioural Psychology
  • Media Sciences
  • Open Science
  • Major Degree | MSc Statistics, ongoing

    Humboldt University / Free University / Institute of Technology, Berlin

  • Major Degree | BA Quantitative Social Sciences (1.1 | A+), 2018

    Zeppelin University, Friedrichshafen

  • Minor | Corporate Management & Economics (Econometrics etc.) (1.0 | A+), 2018

    Zeppelin University, Friedrichshafen

Github & Coding


The Rank Degree Influencer Core Sampler (RaDICeS) allows to draw an effective sample of a (language-based) Twittersphere as described in this talk. It is also part of a forthcoming publication. Until then, you can cite the software itself.


trollR is an R package and tool to detect toxic language. It scored second place at the LSE Computational Social Sciences Hackathon ‘18.