Research Centre: Department of Mathematics
Speaker: Weini Huang (QMUL)
Biological systems including cancer populations evolve with complex interactions among individuals of different traits. In a population of one species, various types can have different growth or death rates, and compete for the shared resource and space. Interspecific interactions, for example between predators and preys, can lead to cyclic dynamics. We use individual-based models to capture continuous random mutations, which lead to new interactions in biological systems. We are interested in evolutionary mechanisms driving diversity in those systems. Here I will talk about how we use game theoretical approaches to model random mutations in one species, the coevolution of predator-prey systems, as well as the evolution of resistance in cancer.
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When & where
3.00pm - 4.00pmTuesday 5th March 2019