Title: Invited Lecture — Stochastic dynamics of gene regulatory networks: numerical techniques to bridge models and experiments
Lecturer: Dr. Elizabeth Read
Lecturer Website: http://readlab.eng.uci.edu/
Lecturer Email: firstname.lastname@example.org
Dr. Elizabeth Read is Assistant Professor of Chemical & Biomolecular Engineering at the University of California, Irvine. She holds undergraduate degrees in Chemistry and Mathematics from the University of Colorado and a PhD in Chemistry from the University of California, Berkeley. Prof. Read is a member of the UC Irvine Center for Complex Biological Systems and the NSF-Simons Center for Multiscale Cell Fate.
Title: Stochastic dynamics of gene regulatory networks: numerical techniques to bridge models and experiments
Cell biological data is increasingly available at single-cell, single-nucleotide, and single-molecule resolution. Such experiments reveal often-unexpected levels of heterogeneity at these scales. In the Read lab, we use stochastic modeling to quantitatively describe this heterogeneity and infer mechanistic insights from data.
I will present recent work in the area of stochastic dynamics of gene regulatory networks. First, stochastic modeling of gene regulatory networks can inform our understanding of cell-to-cell heterogeneity, but integrating such models with data is challenging. We propose a framework for integrating single cell RNA sequencing datasets with Chemical Master Equation models. We find that such model-based analysis can reveal new insights on cell differentiation and gene regulation mechanisms. If time permits, I will also discuss numerical techniques to characterize metastability in discrete stochastic models.
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