Forests contain two thirds of terrestrial biodiversity and store as much carbon and is currently in the atmosphere. We are combining new abstractions of forests, with various sources of data, via Bayesian statistics, to produce useful, predictive models of forest dynamics. We work at every scale from individual trees, through forest 'stands', up to continents and the globe. Parts of this work are highly collaborative, involving co-supervised PhD students and more senior academic partners.