Universiteit Leiden

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Wouter van Loon

PhD Candidate

W.S. van Loon MSc
+31 71 527 7330

Short CV

Wouter van Loon is a PhD candidate at the department of Methodology and Statistics and the Leiden Centre of Data Science (LCDS). He obtained his Master’s degree in Statistical Science (cum laude) at Leiden University. His research primarily concerns supervised learning algorithms for combining information from different types of high-dimensional data.


The aim of his PhD project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data. Nowadays, researchers are confronted with multi-domain data more and more often. In health research, for example, multi-domain data can occur when data are collected from multiple sources (e.g. medical imaging, genomics, questionnaires), or when different feature sets are derived from a single source (e.g. different MRI modalities). Combining data from multiple domains can potentially lead to improved early diagnosis of disease. Furthermore, identification of important domains can lead to simpler, more interpretable diagnostic models. 

This project is part of the Data Science Research Programme. 


Wouter is a tutorial instructor for the second-year bachelor course on Multivariate Data Analysis.


Relevant links

PhD Candidate

  • Faculteit der Sociale Wetenschappen
  • Instituut Psychologie
  • Methodologie & Statistiek

Work address

Pieter de la Court
Wassenaarseweg 52
2333 AK Leiden
Room number 5A05


No relevant ancillary activities

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