#20 · Systems biology
Effective models reduce birth-death, epidemic, and replicator population dynamics
The dominant thread is the reduction of stochastic or evolutionary dynamics to effective descriptions with interpretable parameters. The asymmetrically regulated birth-death study derives an effective population size and fixation results applicable to T-cell clones. The antigenic-variant study shows that population immunity carried over from past epidemics shapes recurrent epidemics according to the antigenic similarity of new variants. The alternating-environment study shows that a species losing in both environments can persist if it switches fast enough, with implications for alternating drug failure. The replicator study applies a two-timescale model of evolving fitness landscapes with an LP-based algorithm on four canonical systems. These works do not share a single mechanism; the shared element is the reduction strategy. New here are the explicit two-timescale, LP-based treatment of non-degenerate replicator landscapes and the effective population size derived for asymmetric regulation.
Preprints
Effective population sizes for asymmetrically regulated birth-death processes
Models asymmetric regulation in birth-death processes, deriving effective population size and fixation results applicable to T-cell clones.
Immune history shapes recurrent epidemics of antigenically related variants
Population immunity carried over from past epidemics of an antigenically variable pathogen influences the epidemic of new variants based on their antigenic simi
A loser in both environments can survive by switching between them
Models show a species losing in both environments persists if they alternate fast enough, with implications for alternating drug failure.
Mathematical Model of Evolution of Non-Degenerate Replicator Systems
Two-timescale model of evolving fitness landscapes in replicator systems; LP-based algorithm applied to four canonical systems.
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