My primary research area is applied harmonic analysis. I study applications in data science and signal processing, and the problems I am interested in are primarily motivated by the need to obtain, express, or store information efficiently. My work frequently leverages ideas from geometry, combinatorics, linear algebra, and random matrix theory. Slightly more specifically, I am interested in compressive sensing, optimal line packings, and frame theory; especially Gabor frame theory and its generalizations.

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