Monthly Archives: March 2020

Predicting when populations go extinct

A new preprint from Stuart Johnston, with Mat Simpson (QUT), looks at a new approximation method for birth-death-movement random walks. Normally, random walk models are approximated via an ODE (i.e. logistic growth), which predicts the population size quite well. However, because … Continue reading

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New paper on physically-plausible models

Our latest paper, which has just appeared online in the Journal of Theoretical Biology, considers how to build simplified, yet physically plausible mathematical models of complex biological systems. Our aim is to help speed up development of whole-cell models – i.e. virtual … Continue reading

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