Explores the transient and delay aspects of chemical master equations, contributing to the understanding of dynamic biochemical systems.
Proposes a new modeling approach for transcriptional noise, enhancing the interpretability and utility of single-molecule quantification experiments.
Develops a chemical master equation framework to model the bursty nature of transcription and splicing processes.
Investigates the length biases present in single-cell RNA sequencing data, particularly in the context of pre-mRNA.
Differentiates between intrinsic and extrinsic noise in mRNA production using a comprehensive model involving synthesis, export, and degradation.