Stan uses computational and mathematical techniques to investigate biological problems from the subcellular through to the ecological scale.
Such multi-level modelling allows Stan to explain, for example, hormonal influences on tissue growth or the spread of vector-borne disease through crop fields.
Stan uses modelling techniques to develop novel theories and to suggest mechanisms that explain biological problems. He teams up with experimental scientists to test and modify these theories until they accurately explain the observed data.
- Mathematical and computational modelling
- Solving biological problems from the subcellular to the ecological scale
- Data analysis and software development for biological data
Since we have entered the era of bioinformatics, we continuously gain a better understanding of the processes that take place at the subcellular level. However, there is limited knowledge on how the subcellular processes eventually lead to morphogenesis, how during embryogenesis tissues, organs, whole organisms emerge and are able to grow, develop, and maintain themselves.
To bridge the gap, the group are using multi-level modelling approaches, in which all the pre-defined dynamics in the models are on the (sub)cellular level, while all the interesting behaviour that emerges from the models take place at different levels of organisation, from the level of the tissue to the level of the organism.
To do so, they combine gene regulatory networks with biophysics and morphogen dynamics.
In close collaboration with experimental groups the group then challenge old experiments and inspire new ones, to unravel the complexity of the the observed development. Moreover, by comparing and contrasting different systems in different kingdoms, from Arabidopsis to chick development, from root to fruit, Stan’s lab try to derive general principles driving development but also how they specifically operate in a particular system.