Marek Gagolewski

Dr habil. Marek Gagolewski

(Pronounced like Mark Gaggle-Eve-Ski) 🙃

🏷 Senior Lecturer in Applied Artificial Intelligence
🏛 School of Information Technology, Deakin University
📪 Melbourne-Burwood Campus, Room T2.20, 221 Burwood Hwy, Burwood, VIC 3125, Australia
Emails (pick one – and only one):
marek🔶gagolewski🔹com (main)
m🔹gagolewski🔶deakin🔹edu🔹au (academic)
See also:  • GitHubStackOverflowVitæ ORCID=0000-0003-0637-6028

Highlights

🔍

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 78 publications (see featured papers), including 36 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

🎓

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

Recent News

2021-06-17 software

realtest 0.2.1 on CRAN

An update to realtest is now available. Read more…

2021-06-04 software

realtest: When Expectations Meet Reality: Realistic Unit Testing in R

realtest is a framework for unit testing for realistic minimalists, where we distinguish between expected, acceptable, current, fallback, ideal, or regressive behaviour. It can also be used for monitoring other software projects for changes. Now available on CRAN.

2021-05-27 new paper

Paper on the genieclust Python+R package

genieclust: Fast and robust hierarchical clustering was accepted for publication in SoftwareX (doi:10.1016/j.softx.2021.100722). Read more…

2021-05-17 software

stringi 1.6.2

stringi is now shipped with ICU4C 69.1 which supports Unicode 13.0 and CLDR 39. Read more…

2021-04-22 software

genieclust 1.0.0

A maintenance release of the Python and R package genieclust for fast and robust hierarchical clustering with noise point detection is now available on PyPI and CRAN.

2021-02-27 new paper

On the aggregation of compositional data

Raul Pérez-Fernández, Bernard De Baets and I have a new paper accepted for publication in Information Fusion; abstract in the sequel. Read more…

2021-02-09 new paper

Hierarchical data fusion processes involving the Möbius representation of capacities

To appear in Fuzzy Sets and Systems — a new paper written together with Gleb Beliakov and Simon James; abstract below. Read more…

2021-01-08 software

Package genieclust 0.9.8 Released

A maintenance release of the R language version of genieclust is now available on CRAN. Read more…

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