Bingjie Wu

This paper provides a unified Hilbert space framework for the spectral theory of stochastic gene expression and shows that deterministic models fail to capture relaxation rates under strong autoregulation.

This study derives exact switching time distributions for a stochastic model of autoregulatory gene expression, showing that explicit mRNA dynamics lead to new distribution shapes not captured by reduced models.

This study creates zonated liver organoids using hESCs-derived hepatocytes and LSECs, showing that GLP-1RA targets LSECs to alleviate NAFLD.

This study provides an exact time-dependent solution for the CME of a gene circuit with autoregulation and bursty expression using spectral decomposition.