About
Dr habil. Marek Gagolewski
(pronounced like: Ma’rek Gong-olive-ski)
🏷 Senior Lecturer in Applied AI
🏛 School of Information Technology, Deakin University
📪 221 Burwood Hwy, Melbourne-Burwood, VIC 3125, Australia
🏷 Associate Professor in Data Science (on leave)
🏛 Department of Computational Statistics and Data Analysis,
Faculty of Mathematics and Information Science, Warsaw University of Technology
🏛 Department of Stochastic Methods,
Systems Research Institute, Polish Academy of Sciences
Emails (pick one – and only one):
○ marek▮gagolewski▯com (main)
○ marek▮deakin▯edu▯au (academic#1)
○ marek.gagolewski▮pw▯edu▯pl (academic#2)
🆔 ORCID: 0000-0003-0637-6028
Open-Source Software:
○ genieclust
○ stringi
○ clustering-benchmarks
○ stringx
○ realtest
Data:
○ A Framework for Benchmarking Clustering Algorithms
Open-Access Textbooks (spread the news!):
○ Minimalist Data Wrangling with Python
See also:
○ GitHub
○ StackOverflow
○ G**gle Scholar
○ Vitæ
○ MADAM Seminar
Highlights
🔍 Researcher in Data Science (with particular emphasis on modelling of complex phenomena and developing of usable, general purpose algorithms)
Area Editor (Aggregation Functions and Data Science) in Fuzzy Sets and Systems
Research interests: computational and applied statistics; machine learning; data fusion, aggregation, and clustering; *metrics; mathematical modelling in informetrics, sports analytics, economics, social sciences, and science of science – amongst others
Author or co-author of 90+ publications, including journal papers in outlets such as Proceedings of the National Academy of Sciences (PNAS), Journal of Statistical Software, 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
💻 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 (text/natural language processing)
🎓 Data Science, Machine Learning, and Statistical Computing Teacher
Current: Deakin University, Melbourne
Past: Warsaw University of Technology and Data Science Retreat, Berlin
Author of the open-access textbook Minimalist Data Wrangling with Python as well as best-selling Polish books on Programming and Data Analysis in R and Python