Summary
Maikel Verouden is a researcher and data scientist with 11+ years of experience applying multivariate statistics and chemometric methods to chemical, physical and microbiological data at Wageningen University & Research. He combines hands-on research in statistical genetics and microbial systems with teaching responsibilities, coordinating and developing the "R for Statistics" course for large cohorts of students. His work spans experimental design, genomic prediction for crop breeding (sugar beet) and fusing prior knowledge into data analysis—skills that translate readily to food, customer and location analytics. Comfortable in multidisciplinary teams, he bridges domain expertise and computational methods to turn complex experimental data into actionable insights. Beyond academia, his background in analytical chemistry and R/SPSS/Excel-based workflows gives him practical experience implementing reproducible analysis pipelines. Colleagues value him for translating deep statistical concepts into teachable, usable tools for researchers and students alike.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Data analysis, Chemometrics, Microbial Metabolomics, Doctor of Philosophy (Ph.D.), Data analysis, Chemometrics, Microbial Metabolomics at University of Amsterdam
BSc., Analytical Chemistry, Environmental Analytical Chemistry, BSc., Analytical Chemistry, Environmental Analytical Chemistry at Hogeschool van Arnhem en Nijmegen
VWO (pre-university secondary education), Dutch, English, German, Mathematics B, Physics, Chemistry, Biology, VWO (pre-university secondary education), Dutch, English, German, Mathematics B, Physics, Chemistry, Biology at Bisschoppelijk College Schöndeln (now called Lyceum Schöndeln)
none, Chemistry, none, Chemistry at Radboud Universiteit Nijmegen
primary school, Primary school, primary school, Primary school at Mariaschool Linne
MSc., Analytical Chemistry, Chemometrics, Data Analysis, MSc., Analytical Chemistry, Chemometrics, Data Analysis at Universiteit van Amsterdam
Dutch, English, German, Polish