Professor Vincent A.A. Jansen

Research interests

My research is about mathematical modelling in biology. To understand how biological systems work, and how biological processed operate I develop mathematical models and analyse these. For instance, we can learn how a disease spreads, and what factors contribute to its spread by studying a mathematical model for disease spread.

My work spans several areas in biology. I am active in mathematical ecology, where I have worked on the effects of space and dispersal on the dynamics of populations. I have modelled and analysed the dispersal behaviour of several species. I have also investigated the dynamics of bumblebee colonies and investigated how stress can contribute to the decline of pollinator populations.

I am interested in evolutionary ecology. An areas to which I have contributed to in particular are the evolution of altruism and cooperation. I have studies this for various species and settings. An area I enjoyed working on was how recognition, in the form of green beards, can facilitate the evolution of cooperation. A further area in which I work is the evolution of pathogens, in particular the evolution of virulence.

I have worked extensively in mathematical epidemiology and on the formulation of models for various infectious diseases. I have worked on measles, meningococcal disease and HIV. I have contributed to a theory for the use of bacteriophage to control bacteria. An interesting aspect of mathematical epidemiology that I have developed is the interplay between human behaviour and the spread of an epidemic. This could, for instance, apply to Ebola.

More recently I have investigated how models can be linked to data and how we can parametrise or select models. This I have applied, for instance, in the analysis of animal movement patterns.

In this video I explain some of the common themes in my work.

See Vincent Jansen's Google Scholar Citations

For further details about my research, please have a look at my publications or see the mathematical biology research group webpages.

ID: 13420