Applied mathematics for life sciences
Within this research theme, 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.
Biometris focuses on quantitative descriptions for a range of important life sciences applications aimed at improving the quality of life. This inlcudes modelling of cellular processes, crop growth, agents, populations, patterns, ecosystems, social-ecological and socio-technical systems, and various engineered and controlled environments. For this, we use different model approaches such as mathematics, software, and statistics.
Theoretical Biology
Theoretical biology covers the full spectrum of theoretical investigation of the living world, ranging from philosophy of biology to mathematical biology, and bio-informatics. Biometris looks at theoretical biology for applications aimed at improving quality of life, in which ordinary differential equations or partial differential equations are used for, e.g., the quantitative description of pattern formation or population dynamics.
Applications
Important applications we currently research are:
- Quantitative descriptions of biological control
- Food webs
- Socio-economic systems
- Pattern formation in vegetation, plants, cells, and animals
Contact us
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.