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I work on polarization based remote sensing and applications to better understand meteorology, estimation theory and image science, imaging operators and ideal observers of polarimeters in the presence of noise. I am interested in statistical operators applied to classical electromagnetics, machine learning (specifically manifold learning), using learned manifolds to drive insight into complicated physical problems, and general imaging/optics problems.