The long-term mission of our lab is to develop experimentally-integrated computational modeling frameworks to enable the molecular-level engineering of biological systems. Toward this end, we focus on high-resolution fluorescence and electron microscopy datasets to infer and program higher-order nucleic acid and protein structure and function. Major applications of our work include engineering 3D DNA assemblies to control multi-chromophore, -protein, and -lipid organizations for nanoscale energy transport, cellular delivery, and nanoscale imaging of membrane processes including neuronal synapses, bacterial cell wall synthesis machinery, and signaling complexes that govern cell migration. Computational analyses of imaging datasets drive the generation and systematic evaluation of quantitative biological models 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.