Statistics for Life Sciences Amsterdam


The research group Statistics for Life Sciences Amsterdam is a co-operation of statisticians from or related to the Department of Mathematics of the VU University Amsterdam and the Korteweg-de Vries Institute for Mathematics of the Universiteit van Amsterdam. The group's research focusses on statistics in the area of the life sciences. This includes the development and application of probabilistics models for biological processes, the development and assessment of statistical theory and tools for application to biological and medical problems, and statistical analysis of data that originate from the life sciences.

Coordinator

Mathisca de Gunst (Dept. of Mathematics, VUA)

Participants

Fetsje Bijma (Dept. of Mathematics, VUA)
Geert Geeven (Dept. of Mathematics, VUA)
Shota Gugushvili (Dept. of Mathematics, VUA)
Mathisca de Gunst (Dept. of Mathematics, VUA)
Marianne Jonker (Dept. of Mathematics, VUA)
Chris A.J. Klaassen (Korteweg-de Vries Institute for Mathematics, UvA)
Michael McAssey (Dept. of Mathematics, VUA)
Aad van der Vaart (Dept. of Mathematics, VUA)
Mark van de Wiel (Dept. of Epidemiology and Biostatistics, VUMC and Dept. of Mathematics, VUA)
Wessel van Wieringen (Dept. of Epidemiology and Biostatistics, VUMC and Dept. of Mathematics, VUA)

PhD students:
Rikkert Hindriks (Dept. of Mathematics, VUA)
Rick Jansen (Dept. of Mathematics, VUA, and Dept. of Integrated Neuroscience, CNCR, VUA)
Gwénaël Leday (Dept. of Mathematics, VUA)
Jakub Pecanka (Dept. of Mathematics, VUA)
Beata Ros (Dept. of Mathematics, VUA)
Olga Shcherbakova (Dept. of Mathematics, VUA)

Former members

Nicola Armstrong
Kees Jong
Bernadetta Tarigan
Geurt Jongbloed
Nadia Lalam
Luigi Palla
Fabio Rigat
Etienne Roquain
Adi Setiawan
Birgit Witte

Vacancies

At present there are no vacancies.

Research projects

  • Carcinogenesis modelling
  • Causal statistical inference in survival analysis
  • Modelling the gene network underlying neuronal outgrowth
  • PET-imaging
  • Proteomics analysis
  • Statistical analysis of CGH and gene expression microarray data
  • Statistical analysis of spatiotemporal patterns of activity in neuronal networks
  • Statistics for dynamical systems
  • Statistics for genetic linkage and association studies
  • Statistics for ion channel kinetics
  • Statistics for MEG and fMRI data

Collaboration

The group collaborates with the following life sciences groups.

Participation

The group participates in

Education

Bachelor:
The mathematics Department of the Vrije Universiteit offers within the (Dutch) Bachelor program Mathematics a variant "Biomedical Mathematics (Biomedische Wiskunde)". For information click on this page.

Master:
The mathematics Department of the Vrije Universiteit also offers within the Master program Mathematics a variant "Mathematics with Life Sciences". See this page.