I am a genome scientist at the University of Arizona. My lab is interested in understanding how the human genome regulates itself to bring about all of the cellular diversity present in our bodies. In addition, we are interested in how genetic variation and environmental exposures in human populations impact that regulation and sometimes lead to complex disease. The particular disease model that we focus on is asthma, a complex disease affecting 10-20% of the population. The reasons we think that single-cell approaches would be particularly applicable to asthma are: 1) the disease involves complex interactions between many cell types of the lung and immune system that are difficult to model; And 2) there are several exquisitely detailed examples of gene-environment interactions that influence asthma outcomes many years later, but we still know relatively little about the molecular mechanisms that lead from exposure to disease. To study these phenomena, we use single-cell genomics technologies so that we can evaluate the impact of genetic and environmental variability from the perspective of whole tissues rather than having to isolate individual cell types or use simplistic cellular models. Working at the nexus of functional genomics, computational biology, and cellular biology, our grouis both experimental and computational and often has to develonovel technologies or methods to address our research questions.