Yen Ting Lin

This paper shows that gene expression noise accelerates the evolution of a biological oscillator by revealing cryptic dynamic phenotypes that guide mutation towards robust oscillation.

This paper introduces an accelerated Bayesian method for inferring gene expression models from single-cell transcript data, showing improved model selection and parameter estimation.

The paper analyzes how negative feedback in protein burst size affects gene expression noise, finding that high cooperativity feedbacks can amplify noise under certain conditions.