Jos Hageman

About Jos Hageman


I am an Assistant Professor in the Mathematical and Statistical Methods department at Wageningen University. In this role, I conduct research into statistical methods, provide statistical support for scientific projects and companies, develop and teach both introductory and advanced statistics courses to BSc, MSc, and PhD students, and supervise MSc and PhD students in their research. My research focuses on predicting complex quantitative traits and developing methods that bridge the gap between univariate and multivariate statistical methods.


With formal training as a medicinal chemist, specializing in the organic synthesis of biologically active compounds and chemoinformatics, I transitioned into the field of chemometrics, receiving my PhD under the supervision of Prof. Lutgarde Buydens in 2004. In 2017, I was certified as a biostatistician by the Netherlands Society for Statistics and Operations Research.


In my spare time, I'm an enthusiastic photographer. Click here to find out about my work.

Work Experience


Assistant Professor, Mathematical and Statistical Methods department, Wageningen University (2007 - Current)

  1. Developed statistical methods for analyzing metabolomics, proteomics, and transcriptomics data.
  2. Provided statistical support for scientific projects and consultancy for international companies.
  3. Supervised MSc and PhD students.
  4. Presented research findings at international symposia and conferences.
  5. Taught introductory and advanced statistics courses to BSc, MSc, and PhD students.
  6. Developed course materials and new courses for BSc, MSc, and PhD education.
  7. Peer-reviewed manuscripts for international journals.


Postdoctoral Researcher, University of Amsterdam & Wilhelmina Children’s Hospital Utrecht (2006 - 2007)

  1. Developed a framework for analyzing metabolomics data in terms of informative and non-informative parts.
  2. Facilitated flexible interactions with biologists to incorporate prior knowledge of underlying structures.


Postdoctoral Researcher, University of Amsterdam (2004 - 2006)

  1. Developed statistical methods for metabolomics data analysis, including robust and two-mode clustering.
  2. Introduced a top-down approach for searching homogeneous catalysts, exploring ligand diversity.
  3. Investigated multivariate calibration techniques, focusing on robust methods.
  4. Applied clustering techniques in earth sciences to study lipid biomarkers and past vegetation.


Ph.D. Student, Analytical Chemistry (Chemometrics), Radboud University (1998 - 2003)

  1. Researched global optimization methods such as genetic algorithms (GA), simulated annealing (SA), and tabu search (TS).
  2. Applied these methods to various problems, including automatic interpretation of rovibronic fluorescence spectra, powder pattern indexing, wavelength selection, and multilayer optical coating optimization.


Education


Vrije Universiteit Amsterdam, MSc Medicinal Chemistry and Cheminformatics (1993 - 1998)

  1. Synthesized and tested flavones as potential cardioprotective agents in doxorubicin antitumor therapy.
  2. Programmed neural networks in ANSI-C for predicting gas chromatography retention indices.


Certification

  1. Registered Biostatistician by the Dutch Society for Statistics and Operations Research (2017)
  2. University Teaching Qualification (UTQ) from Wageningen UR (2015)
  3. Senior University Teaching Qualification (SUTQ) from Wageningen UR (2024)