Alexander Gray

Associate Professor


My work focuses on developing the new statistical and computational foundations demanded by next-generation challenges in data analysis. Two challenges which keep increasing in importance and ubiquity are massive datasets and various curses of dimensionality. I have been concerned with computational strategies for dealing with the fundamental summations, integrals, and maximizations at the root of a wide variety of statistics and machine learning methods. A second thread of my research, in progress, concerns statistical theory for some practical open problems in machine learning. A third thread concerns meta-methods, or methods for making new methods, both statistical and algorithmic.

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