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

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

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

Explore mathematical modeling of bacterial population dynamics post-vaccination, focusing on Streptococcus pneumoniae and its implications for public health strategies.

Explore mathematical modeling of glioblastoma tumor growth, focusing on traveling wave speed and profile in a "go or grow" framework for advanced cancer research.

Explore quantitative foundations of ecological and evolutionary dynamics through advanced mathematical concepts and modeling techniques.

Explore gene drive systems' spatial spread using reaction-diffusion models. Compare deterministic and stochastic approaches, examining effects on fitness costs, wave speed, and barrier penetration.

Explore the mathematical approach to brain size and intelligence, examining scaling laws and statistical principles in humans and animals to uncover connections between brain size and cognitive abilities.

Dive into 進化の系統樹と系統ネットワークの数学的構造について、早水桃子博士による詳細な解説。系統樹の推定方法から構造定理まで、組合せ論的アプローチで探究する。

霊長類の生物学的組織と数理的な側面について探求し、学際的な科学アプローチから複雑な霊長類の本質に迫る講義の第2章。

Discover the interdisciplinary approach to studying primates through mathematical and biological perspectives, exploring complex organizational patterns and innovative scientific methods in primate research.

Explore the vast landscape of consciousness across biological species, artificial minds, and theoretical entities through mathematical frameworks and philosophical perspectives.

Explore types of stickiness in BHV phylogenetic tree spaces and their degree, delving into advanced concepts in computational biology and evolutionary analysis.

Explore animal growth models in random environments, focusing on applications and mathematical analysis of population dynamics and ecology.

Explore the suppression of chemotactic blow-up by buoyancy in this mathematical conference talk, featuring insights on aggregation-diffusion equations and collective behavior.

Explore coalescence times of ancestral lineages in two-dimensional logistic branching through a mathematical conference talk by Matthias Birkner.

Explore mean-field limits in non-exchangeable integrate and fire systems with Pierre-Emmanuel Jabin. Delve into advanced mathematical concepts and their applications in this specialized conference talk.

Explore mathematical patterns in animal markings, from Turing's equations to recent biological discoveries. Discover how complex stripes and spots emerge through chemical processes and gene interactions.

Explore quantitative foundations of ecological and evolutionary dynamics through advanced mathematical concepts and modeling techniques.

Explore quantitative foundations of ecological and evolutionary dynamics through advanced mathematical concepts and modeling techniques.

Explore stochastic modeling techniques for analyzing tumor control and cure probabilities, focusing on mathematical approaches in oncology research and treatment outcomes.