The US Environmental Protection Agency is tasked with protecting human health and the environment. One venue for this is through the implementation of the Clean Air Act. A wide array of statistical problems are considered in assessing risk, determining compliance of the National Ambient Air Quality Standards, and monitoring air quality. These include evaluating temporal trends, spatial interpolation, data fusion, satellite product incorporation, quality standards implementation, climate change, air quality modeling, assessing human health effects and environmental impacts and more. This talk will consider a brief overview of statistics within the Office of Air Quality Planning and Standards as well as across EPA departments and federal agencies, with an in-depth look at a couple of time-relevant projects. A few threads that will be also discussed include: What are the different EPA branches and offices and how do they work together on emerging scientific issues? What is the interplay of statistical science with decision and policy makers? What types of opportunities exist for collaboration and employment?