Susanna Röblitz

This study investigates how filaments deform biomolecular condensate droplets and identifies physical mechanisms governing their shapes.

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 develops a dynamic model for RAS to simulate and optimize pH and alkalinity control based on operational strategies and system dynamics.

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

This paper presents a workflow to calibrate dynamic models using cross-sectional data through Bayesian updating, demonstrated on a puberty model with hormone measurements.

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