Photo of Katrijn Van Deun
  • Prof. Cobbenhagenlaan 225, Simon Building, room S 718

    5037 DB Tilburg


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Personal profile

Research interests

My research focuses on the development of statistical tools for the analysis of so-called Big Data. These are data that come from multiple sources (for example, questionnaire and genetic data for the same group of persons) and that consist of a huge number of variables (often more than the number of observations, this is high-dimensional). These data elude existing statistical methods. Hence I develop novel methods for exploration and prediction with such data. In 2016 I received a personal grant from the Netherlands Organisation for Scientific Research to stimulate this research (VIDI grant).

Current courses

Click here for my courses.


JBM050: Statistical Computing

880260: Computational Statistics



  • Data Mining
  • Statistics
  • Methodology And Statistics

Fingerprint Dive into the research topics where Katrijn Van Deun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Data integration Chemical Compounds
Genes Chemical Compounds
Unfolding Mathematics
Data Integration Mathematics
Singular value decomposition Chemical Compounds
Gene Mathematics
Escherichia coli Chemical Compounds
Functional Genomics Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2019

Multiple salient goals pursued by job seekers in mandatory continuing professional education

Jacot, A., Raemdonck, I., Frenay, M. & Van Deun, K., 2019, In : Vocations and Learning. 12, 2, p. 297–317

Research output: Contribution to journalArticleScientificpeer-review

job seeker
2 Downloads (Pure)

RegularizedSCA: Regularized simultaneous component analysis of multiblock data in R

Gu, Z. & Van Deun, K., 2019, In : Behavior Research Methods. 51, 5, p. 2268-2289

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Information Storage and Retrieval
Computational Biology

Revealing the joint mechanisms in traditional data linked with big data

de Schipper, N. & Van Deun, K., 2019, In : Zeitschrift für Psychologie. 226, 4, p. 212-231

Research output: Contribution to journalArticleScientificpeer-review

Human Behavior
Surveys and Questionnaires
Data Integration
3 Downloads (Pure)
Open Access
4 Downloads (Pure)
Open Access