Michael Sieber

This study shows that using a stochastic model to account for variability in microbial time-series data improves parameter inference compared to deterministic models.

This study shows how single capsid mutations in {Phi}X174 phage alter adsorption, persistence, and plaque morphology, shaping evolutionary trajectories under different transfer conditions.

The paper models how bacteriophage dependence on host growth rate creates a feedback loop that allows slow-growing bacteria to outcompete fast-growing ones, potentially leading to phage extinction and altruistic host death.