Jeroen Jansen

Jeroen Jansen

Room

email

Phone

C2.105

+31 20 525 5459

Introduction

In 2001 Jeroen Jansen obtained his Master of Science degree in Chemical Engineering at the University of Amsterdam. His research topics ranged from using Tendency Modeling of a chemical batch reaction using UV/vis spectroscopy to prediction of melting properties of Cocoa Butter Equivalents from the triglyceride composition. He started his Doctor of Philosophy studies in the same year in the Process Analysis and Chemometrics group in the same university: this research focused on developing methods for the analysis of data from metabolomics experiments on health and toxicity. During this research he employed Weighted Principal Component Analysis to compensate for the heteroscedastic error structure native to Nuclear Magnetic Resonance spectroscopy. Furthermore he developed the Analysis of Variance-Simultaneous Component Analysis (ASCA) method, which hyphenates the linear models familiar from ANOVA to the component analysis properties of PCA.

After finishing his Ph.D. in 2005, Jeroen went on to work as a Post-Doctoral researcher at the Centre for Terrestrial Ecology at the Netherlands Institute for Ecology. He there employed all metabolomics platforms to study multitrophic interactions between plants, caterpillars and parasitoid wasps which target the caterpillars.

Current Research

In 2009 Jeroen moved to the Netherlands Metabolomics Centre to study interactions within an organism (i.e. between compartments such as the liver, blood and urine) with metabolomics. His focus there is on developing data analysis methods that provide information on the within-organism interplay to reach the phenotype of interest to the experiment. His main experimental questions are:

  • Which patterns in metabolic variation indicate interactions between different compartments within an organism?
  • How can a priori biochemical information be used to highlight such interplay?
  • How can data from different compartments be integrated to highlight such interactions?
  • How can the interactions found in the previous steps be visualized in insightful figures?