Kai Li

This study identifies conditions for observing sulfide-induced invasive growth in wine yeast and shows genetic and environmental factors influence this behavior.

The paper develops an agent-based model and neural likelihood estimator to infer parameters of yeast colony growth from time series data, improving parameter estimation and prediction accuracy compared to approximate Bayesian computation.

The paper uses an off-lattice agent-based model and experimental data to show that budding mechanisms and nutrient concentration drive filamentous yeast colony morphology.