Augustinas Sukys

The paper develops a mathematical framework showing intercellular signaling stabilizes cell fate and tissue patterning by suppressing spontaneous switching and inducing coordinated behaviors.

The paper estimates burst frequency and size parameters of gene expression in G1 and G2/M phases using mechanistic models on single-cell RNA-seq data from mouse cells.

This paper uses neural networks to approximate solutions of the Chemical Master Equation, enabling faster stochastic simulation and inference.

The paper derives a closed-form solution for stochastic enzyme kinetics and shows transient bimodality in substrate distribution under specific conditions.