Since the seminal 1961 paper of Monod and Jacob, mathematical models of biomolecular circuits have guided our understanding of cell…PLoS Computational Biology
The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development.
Our theoretical and computational work is designed to integrate and abstract rapidly accumulating heterogeneous datasets, to propose critical tests of multiscale regulatory mechanisms, and to guide our own genetic and imaging experiments. Our research is organized around three main themes: the mechanistic modeling of pattern formation and morphogenesis; the synthesis and decomposition of developmental trajectories; and the modeling of human developmental defects. Current projects focus on small cell clusters (motivated by our work on early embryos and animal germline development), graph dynamics in rearranging cell networks (motivated by problems of epithelial morphogenesis), and the effects of activating mutations in signaling enzymes (motivated by our work on a large class of human developmental abnormalities).
The early Drosophila embryo provides unique experimental advantages for addressing fundamental questions of gene regulation at multiple levels of organization,…bioRxiv 2021.01.08.425929
Apical stress fibers enable a scaling between cell mechanical response and area in epithelial tissue
Tissue development, homeostasis, and repair require cells to sense mechanical forces. Although many molecular actors implicated in cell mechanosensitivity have…