About

Marek Gagolewski

Prof. Marek Gagolewski

(pronounced like: Maa’rek (Mark) Gong-o-leaf-ski)

Associate Professor in Data Science
Academic Director for Data Science Studies

🏛 Department of Computational Statistics and Data Analysis, Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland
📪 ul. Koszykowa 75, 00-662 Warsaw, Poland (Math Building-MiNI, room 550; see my timetable)
and
🏛 Systems Research Institute, Polish Academy of Sciences
📪 ul. Newelska 6, 01-447 Warsaw, Poland

🆔 ORCID: 0000-0003-0637-6028

✉️ Emails (pick one – and only one): ○ marek▮gagolewski▯com (main) ○ marek▯gagolewski▮pw▯edu▯pl (academic)

📚 Open-access textbooks: ○ Deep R Programming ○ Minimalist Data Wrangling with Python
🖥️ Open-source software: ○ stringi ○ genieclust ○ clustering-benchmarks ○ stringx ○ realtest
🧐 See also: ○ GitHub ○ StackOverflow ○ G**gle Scholar ○ Vitæ ○ MADAM Seminar

Highlights

  • 🔍 Researcher in data science (with emphasis on mathematical modelling of complex phenomena and developing usable data analysis/machine learning software)

    • Area editor in Fuzzy Sets and Systems (aggregation functions and data science)

    • Research interests: computational and applied statistics; machine learning; data mining on networks/graphs; data fusion, aggregation, and clustering; mathematical modelling in informetrics, bibliometrics, psychometrics, sports analytics, economics, social sciences, and science of science; systems research

    • Author/editor of ~100 publications, including journal papers in outlets such as Proceedings of the National Academy of Sciences (PNAS), Journal of Statistical Software, R Journal, Journal of Classification, Information Fusion, International Journal of Forecasting, Statistical Modelling, Physica A: Statistical Mechanics and Its Applications, Information Sciences, Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems, and Journal of Informetrics

  • 💻 Open-source data analysis/machine learning/statistical software developer

    • Author and maintainer of the fast&robust Genie hierarchical clustering algorithm; see Python and R package genieclust

    • Author and maintainer of stringi – one of the most often downloaded R packages (text/natural language processing)

    RStudio CRAN mirror downloads RStudio CRAN mirror downloads

  • 🎓 Data science, machine learning, and statistical computing lecturer