My research is concerned with the development of randomized algorithms to reduce the computational costs of extracting information from Big Data. My work lies at the intersection of machine learning, randomized numerical linear algebra, and high-dimensional data analysis. I am interested in applications arising in the areas of astronomy, climate science, fluid dynamics and neuroscience.