Alexander Tam

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 models spiral colony morphology in yeast using an agent-based model and Bayesian inference to infer hyphal growth parameters.

The paper uses experiments and a mathematical model to show that higher agar density increases yeast biofilm adhesion and decreases nutrient uptake.

This study uses simulations to show how different filament turnover models and mechanical factors affect contractility and bundle formation in actomyosin networks.

This study analyzes C. albicans biofilm formation using multiscale fluorescence microscopy and introduces new quantification methods to understand growth dynamics and environmental influences.

This paper develops a continuum model incorporating accidental and regulated cell death to study yeast colony biofilm growth and morphology, showing qualitative agreement with experiments.

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.