in many areas of imaging science, it is difficult to determine the phase of linear measurements. for example, in some applications, one only has access to the pointwise absolute value of various masked fourier transforms of the desired signal. in this setting, the goal is to reconstruct the signal from the intensity measurements, that is, perform phase retrieval. this talk describes how to leverage ideas from spectral graph theory to design fourier masks in a way that allows for efficient signal reconstruction.