My laboratory develops statistical, image analysis and visualization methods for unraveling basic mechanisms of biology. We are particularly interested in multicellular systems and assembling quantitative system-wide information derived at cellular and subcellular resolution. We are currently developing image-based techniques to study nuclear organization, gene expression, cellular interactions, epigenetics and morphology, and we are applying these to human mammary epithelial tissues as well as Drosophila embryos. Our goal is to build computational, multi-feature atlases to provide quantitative morphological and macromolecular information at cellular resolution, and to use these atlases to reveal new biology about the multicellular system. Multidisciplinary collaborations are essential to our work and we believe there is an enormous and exciting future, in fact a mandate, for bioimaging research to increase basic understanding of biological processes and provide new knowledge and tools for the greater good.