Welcome

Read Lab at UCI

We use computational approaches from engineering and the physical sciences to study cell-biological processes relevant to human health.

We develop mathematical models, computer simulation tools, and statistical inference techniques. We apply these methods to a variety of areas, including immune cell activation and epigenetic regulation. The themes that link all of our projects are stochastic processes in cell biology and dynamics of biomolecular networks. 

We are part of the Department of Chemical and Biomolecular Engineering, the Center for Complex Biological Systems, and the NSF-Simons Center for Multiscale Cell Fate at UC Irvine.

Latest News

Oct 2019

Elizabeth gave an invited talk at the 2019 SoCal Mechanobiology Symposium: "Insights on epigenomics from stochastic modeling and statistical inference"

Rob presented a poster at the 2019 SoCal Mechanobiology Symposium: "Spatial organization of surface molecule CD45 on lymphocytes studied by stochastic rare event simulation"

Cameron's paper is up on BioRxiv! Using stochastic gene regulatory network models to analyze scRNAseq data: https://www.biorxiv.org/content/10.1101/815878v1