The long-term mission of our lab is to develop experimentally-integrated computational modeling frameworks to enable the quantitative, molecular-level understanding and engineering of biological systems. Toward this end, we focus on high-resolution fluorescence and electron microscopy datasets to infer and control higher-order DNA, RNA, and protein structure and function in diverse contexts. Major applications of our work include engineering 3D DNA assemblies to program higher-order chromophore, protein, lipid, and RNA organizations, and molecular imaging of biological membrane processes including neuronal synapses, bacterial cell wall synthesis machinery, and signaling complexes that drive cancer cell migration. Computational analysis of imaging datasets drive the generation and systematic evaluation of quantitative models that are tested and refined using molecular perturbations in our own lab and in collaborating labs. For more information on these and other aspects of our work, please see our accompanying research, publications, and software pages. Research position openings are described on our Contact page if you are interested in joining our team.