Deterministic evolutionary theory robustly predicts that populations displaying altruistic
behaviors will be driven to extinction by mutant cheats that absorb common benefits but do …

We study individual-based dynamics in finite populations, subject to randomly switching
environmental conditions. These are inspired by models in which genes transition between …

Most organisms grow in space, whether they are viruses spreading within a host tissue or
invasive species colonizing a new continent. Evolution typically selects for higher expansion …

The relationship between the M-species stochastic Lotka-Volterra competition (SLVC) model
and the M-allele Moran model of population genetics is explored via timescale separation …

Spatial heterogeneity plays an important role in the evolution of drug resistance. While
recent studies have indicated that spatial gradients of selection pressure can accelerate …

The relationship between the Moran model and stochastic Lotka-Volterra competition
(SLVC) model is explored via time scale separation arguments. For neutral systems the two …

To increase situational awareness and support evidence-based policymaking, we
formulated a mathematical model for coronavirus disease transmission within a regional …

Synergistic and antagonistic interactions in multi-species populations—such as resource
sharing and competition—result in remarkably diverse behaviours in populations of …

We investigate how initial and boundary conditions influence the competition dynamics and
outcome in dispersal-structured populations. The study is carried out through numerical …

We describe a continuous-time modelling framework for biological population dynamics that
accounts for demographic noise. In the spirit of the methodology used by statistical …