
Explore kinetic modeling of myxobacteria colonies, examining cell-cell interactions and emergent behaviors through Boltzmann-type equations, mathematical analysis, and numerical simulations.

Explore models of active matter systems, focusing on motility-induced phase separation in self-propelled particles and the resulting macroscopic PDEs.

Explore instabilities and geometry in growing epithelial tissues, focusing on key concepts and recent research findings in this fascinating field of biophysics.

Explore rheological models with delay and viscous friction in morphogenesis, analyzing stability and oscillations in embryonic tissues, particularly in Drosophila CNS development.

Explore mathematical modeling of tumor growth with convective effects, focusing on the incompressible limit and its connection to free-boundary problems.

Explore range dynamics of spatially structured populations, considering spatial propagation and evolutionary dynamics in heterogeneous environments.

Explore genetic composition in biparental populations using a Moran model. Analyze ancestral genome proportions and their convergence as population size increases.

Explore the evolutionary benefits of recombination in finite populations, focusing on analytical and simulation results for diploid organisms and the effects of inbreeding and transposable elements.

Explore the impact of seed dormancy on beneficial allele fixation and genomic signatures of selective sweeps in plant populations with overlapping generations.

Explore phenotypic adaptation in populations facing environmental changes through ancestral lineage analysis, using deterministic models and Markov processes to reveal evolutionary dynamics.

Explore polygenic local adaptation in subdivided populations, analyzing effects of linkage disequilibria and genetic drift on environmental adaptation and hybridization dynamics.

Explore the evolution of age-specific mate choice and its impact on speciation in populations with overlapping generations through mathematical modeling.

Explore Hamilton-Jacobi equations in quantitative genetics, bridging stochastic individual-based models and phenotypic density analysis through asymptotic derivations and population dynamics.

Explore complex spatial topology's impact on evolutionary dynamics, examining mode and tempo in diverse environments.

Explore nonlocal reaction-diffusion equations modeling adaptation dynamics in multi-patch environments. Analyze persistence, extinction, and the impact of migration and host addition on fitness.

Explore a novel methodology combining major locus and quantitative background effects in migration-selection balance, revealing complex genetic architecture patterns and unexpected polymorphism loss.

Explore density-dependent diffusion in expanding phage populations, examining pulled vs. pushed waves and the impact on viral evolution and adaptability.

Explore the evolution of dispersal in heterogeneous environments through mathematical models, focusing on recent advancements in diffusion-competition systems and selection-mutation models.

Explore a neural mass model examining abnormal beta-rebound in schizophrenia, presented by experts from the University of Nottingham at Institut Henri Poincaré.

Explore neural assemblies through a multiple time renewal equation, focusing on the elapsed time model and its implications for understanding brain dynamics.

Explore Fokker-Planck equations in neuron networks, focusing on time periodic solutions and their implications for neural dynamics.