Mathematical and Statistical Methods (Biometris)
Biometris brings mathematics and statistics to life in the worlds of biology, agriculture and the environment. Our researchers develop mathematical and statistical methods to understand and quantify biological and environmental processes: from genes to ecosystems. This helps us better predict and manage complex phenomena in nature and our living environment. Biometris comprises the chair groups Applied Statistics, led by Carel Peeters, and Applied Mathematics, led by Peter Heijster.
Research themes
Statistical genetics
We develop methodology for sound inference for genetic, genomic and phenotypic data.
Applied mathematics for life sciences
We use mathematical models to explore how living systems function and interact, from the growth of plants and cells to the dynamics of ecosystems and human societies.
Data science
With machine learning, algorithms and statistical principles, we discern patterns in complex datasets.
Risk assessment in food safety
We aim to understand, quantify and manage risks in complex biological, environmental and food systems to support rational, science-based decision-making.
Education
Education by Biometris
Within our education programme, we make an important contribution to virtually all Wageningen courses, teaching students how mathematical and statistical knowledge can be applied in practice in their own field – from plant sciences to social sciences.
Publications & Projects
Quantitative approaches become increasingly important within life sciences. Our group applies mathematics and statistics to analyse and use large data sets to understand complex processes in the life, environmental and social sciences. Projects range from modelling plant growth, the dynamics of plant-insect interactions, population dynamics to analysing socio-economic resilience and damage detection in water supply systems.
Highlighted projects
Chair holders
People of Biometris
Meet the people of Biometris.
