The Department of Energy (DOE) employs scientists, mathematicians, engineers, and technicians to work on problems ranging from renewable energy resources to global climate change. However, unbeknownst to many people is the fact that the DOE is also the nation’s overseer of nuclear non-proliferation, nuclear emergency response, and nuclear power for the U.S. Navy. Furthermore, the DOE also oversees our nuclear weapons program, where the safety, security, and reliability of our nuclear stockpile are governed through scientific modeling, simulation, and experimentation, and decisions about the nuclear stockpile program are driven by data analysis. In light of this, it is imperative that analysis methods be mathematically justifiable, the data obey the assumptions of the method, and the information extracted from each diagnostic’s data be useful and relevant to the questions posed. Statistical methods are absolutely necessary in the analysis of data from each diagnostic to estimate quantities of interest and to help us understand corresponding uncertainties. In this presentation, some of the scientific research interests of the DOE will be highlighted, including work of Postdocs, Graduate students, Co-Op students, and summer interns, with a focus on measurement diagnostics and analysis for subcritical experiments in support of the Stockpile Stewardship Program at the Nevada National Security Site, the nation’s premier explosives laboratory.