In this talk I will present one experimentalist's perspective on the current landscape in high energy particle physics. We have many mysteries to solve and the benefit of a tremendous amount of data from current experiments as well as a diverse program of planned future upgrades and new experiments to help us find answers. Exciting developments in computing and an expansion of our analysis capabilities with machine learning techniques allows us to tease an increasing amount of information out of the data. I will motivate and present a few examples from my research program on ATLAS and Mu2e, which involves both searches for physics beyond the standard model as well as measurements of standard model properties.