Anna-Simone Frank

This study develops a mathematical model to analyze bistable tumor dynamics influenced by macrophage polarization and links findings to potential treatment strategies.

The paper introduces a domain decomposition approach to efficiently compute Markov State Models for stochastic gene regulatory networks with uncertainty quantification.

This paper evaluates a data-driven method's ability to replicate predator-prey dynamics using SINDy, showing consistency but also parameter sensitivity and the need for extensive data.

This paper introduces a discrete time model of stock-recruit relationships using life-history stanzas, showing it can generate diverse SR patterns and improve understanding of population dynamics.

This study models macrophage phenotype transitions using a stochastic gene-regulatory network, identifying bistable and tristable states and their transition dynamics.

The paper presents a mathematical model of macrophage polarization showing multistability and identifies key drivers through bifurcation and sensitivity analysis.