Prof. Marek Gagolewski, Ph.D., Dr habil.

About Me

Marek Gagolewski

Associate Professor of Computer and Data Science

Faculty of Mathematics and Information Science, Warsaw University of Technology
ul. Koszykowa 75, 00-662 Warsaw, Poland, Room 550 (5th floor)
Department of Stochastic Methods, Systems Research Institute, Polish Academy of Sciences
ul. Newelska 6, 01-447 Warsaw, Poland
Emails (pick one – and only one):
marekgagolewski·com (main)
M.Gagolewskimini·pw·edu·pl (academic)
See also:  , , , ResearchGate, Google Scholar, ORCID,
My academic vita:  In English, In Polish

Bio

Researcher in Machine Learning, Data Aggregation and Fusion

Data Scientist

Data Science, Machine Learning, Python, R, and C++ Teacher &Trainer at Warsaw University of Technology and Data Science Retreat

Software Developer

Oct. 20, 2017Habilitation in Computer Science (Data aggregation and analysis);
Systems Research Institute, Polish Academy of Sciences
Dec. 21, 2011Ph.D. in Computer Science (Data aggregation);
Systems Research Institute, Polish Academy of Sciences
June 30, 2008M.Sc. in Computer Science (with honors; AI & computer graphics);
Faculty of Mathematics and Information Science, Warsaw University of Technology
Apr. 2018 –Associate Professor;
Department of Stochastic Methods,
Systems Research Institute, Polish Academy of Sciences
Jan. 2018 –Associate Professor;
Faculty of Mathematics and Information Science, Warsaw University of Technology
Feb. 2012 – Mar. 2018Assistant Professor;
Department of Stochastic Methods,
Systems Research Institute, Polish Academy of Sciences
Apr. 2012 – Dec. 2017Assistant Professor;
Faculty of Mathematics and Information Science, Warsaw University of Technology
Oct. 2008 – Feb. 2012Teaching and Research Assistant;
Faculty of Mathematics and Information Science, Warsaw University of Technology
July 2008 – Jan. 2012Research Assistant;
Department of Stochastic Methods,
Systems Research Institute, Polish Academy of Sciences

Recent News

2019-01-16 new paper

Supervised Learning to Aggregate Data with the Sugeno Integral

Supervised Learning to Aggregate Data with the Sugeno Integral, co-authored by Simon James and Gleb Beliakov, shall appear in IEEE Trans. Fuzzy Systems. Read more…

2018-12-11 new Ph.D.

Anna Cena's Ph.D. defense

My Ph.D. student, Anna Cena has defended her doctoral thesis, Adaptive hierarchical clustering algorithms based on data aggregation methods. Yay!

2018-10-26 new Ph.D.

Maciej Bartoszuk's Ph.D. defense

My Ph.D. student, Maciej Bartoszuk has defended his doctoral thesis (cum laude!), A source code similarity assessment system for functional programming languages based on machine learning and data aggregation methods. Congratulations!

2018-07-02 new paper

The efficacy of league formats in ranking teams

The efficacy of league formats in ranking teams has been accepted for publication in Statistical Modelling. Joint work with Jan Lasek. Read more…

2017-05-23 software

Python package genieclust 0.1a2 released

An alpha release of the Python package implementing our fast and robust (Genie clustering algorithm ) is now available on PyPI. Check out the github repository for more information and tutorials.

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