Dr habil. Marek Gagolewski

Researcher in the Science of Data (with particular emphasis on modelling of complex phenomena and developing of usable, general purpose algorithms)

• Research interests: machine learning; data fusion, aggregation, and clustering; computational statistics; mathematical modelling in informetrics, sports analytics, and science of science – amongst others
• Author or co-author of 75 publications (see featured papers), including 33 journal papers in outlets such as Proceedings of the National Academy of Sciences (PNAS), Information Fusion, International Journal of Forecasting, Statistical Modelling, R Journal, Information Sciences, IEEE Transactions on Fuzzy Systems, and Journal of Informetrics
• Eligible Principal Supervisor at PhD level (principal supervisor of 3 PhD and 11 MSc by research students from commencement through to successful completion) – feel welcome to contact me if you have any interesting research ideas (and essential capabilities such as programming skills (Python, R, C, etc.), data wrangling, matrix algebra, probability and statistics, and optimisation)

Free (Libre) and Open Source Data Analysis 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 that aims at text/natural language processing
• See also: Benchmark Suite for Clustering Algorithms - Version 1
• Check me out at GitHub and StackOverflow

Data Science, Machine Learning, and Statistical Computing Tutor & Trainer

• Current: Deakin University, Melbourne
• Past: Warsaw University of Technology and Data Science Retreat, Berlin
• Author of best-selling textbooks on Programming and Data Analysis in R and Python (in Polish)
• Most-recent project (ongoing): Lightweight Machine Learning Classics with R