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My research interests are in developing and analyzing estimation, inference, and optimization tools for structured high-dimensional data problems such as sparse regression, sparse nonparametric models, and low-rank models. I work on developing methods for false discovery rate control in settings where we may have undersampled data or misspecified models, and for distribution-free inference in settings where the data distribution is unknown. I also collaborate on modeling and optimization problems in image reconstruction for medical imaging.