My main area of research is weak gravitational lensing, the very small perturbations in the shapes of distant source galaxies due to massive foreground galaxies/clusters. There are many useful applications of weak lensing due to the fact that it is sensitive to the full matter density projected along the line of sight, regardless of whether that matter is luminous (i.e., visible through a telescope) or not (dark matter). I am interested in applications of lensing to the study of the connection between galaxy observables and their underlying dark matter halos, of how cosmic structure grows with time (connected to dark energy), and of whether General Relativity is really the correct theory of gravity on cosmological scales. Much of this work involves combining gravitational lensing with other types of cosmological measurements. More recently I have been working on applications of methods from statistics and machine learning to cosmological problems involving large datasets.