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@madam-research-group @DataScienceRetreat
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My research interests include data science, machine learning, data aggregation and clustering, computational and applied statistics, and mathematical modelling (the science of science, sport, economics, social sciences, psychometrics, bibliometrics, etc.). In my spare time, I write books for my students and develop open-source data analysis software.

Open-access textbooks


Python packages

R packages

  • stringi – Fast and portable character string processing in R (one of the most often downloaded packages for R) (GitHub) (CRAN) (paper)
  • genieclust – Fast and robust hierarchical clustering with noise point detection (GitHub) (CRAN) (paper)
  • stringx – Drop-in replacements for base R string functions powered by stringi (GitHub) (CRAN)
  • realtest – Where expectations meet reality: Realistic unit testing in R (GitHub) (CRAN)
  • TurtleGraphics – Learn computer programming in R while having a jolly time! (GitHub) (CRAN)



  1. deepr deepr Public

    Deep R Programming (Open-Access Textbook)

    85 1

  2. datawranglingpy datawranglingpy Public

    Minimalist Data Wrangling with Python (Open-Access Textbook)

    76 2

  3. stringi stringi Public

    Fast and portable character string processing in R (with the Unicode ICU)

    C++ 292 45

  4. genieclust genieclust Public

    Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

    C++ 55 9

  5. stringx stringx Public

    Drop-in replacements for base R string functions powered by stringi

    HTML 26

  6. clustering-benchmarks clustering-benchmarks Public

    A framework for benchmarking clustering algorithms

    Python 31 6