Research Interests

My current research interests are related to data science — with emphasis on modelling complex phenomena, developing usable, general-purpose algorithms, studying their analytical properties, and finding out how people (laymen, decision-makers, students, and researchers from different fields) use, misuse, understand, and misunderstand methods of data analysis in scientific, business, political, social, and other settings.

These include:

  • computational and applied statistics,

  • statistical and data analysis software,

  • machine learning algorithms,

  • data aggregation and fusion, prototype learning, clustering,

  • data mining in graphs/networks,

  • decision making,

  • *metrics (bibliometrics, informetrics, technometrics, psychometrics, …),

  • mathematical modelling in sports, social sciences (economics, psychology, sociology, …), science of science, and meta-research in general.

If you feel that we could write a paper together on something interesting (and fun!), drop me an email.

For more details, see my list of Publications and my CV.

Prospective Research Students

I am eligible to supervise research students at the PhD level. I was the principal supervisor of 3 PhD and 11 MSc by research students from commencement to successful completion.

Feel welcome to email me if you have (a) interesting research ideas or at least problems that we both might find pleasantly puzzling, (b) essential skills: programming (e.g., Python, R, C/C++), data wrangling, matrix algebra, probability and statistics, and optimisation, (c) some healthy degree of independence.

However, please read a few of my papers first and show me where you want to go from there. I am not responding to emails that look like spam (ones that seem to be sent to many people at the same time).