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Department of Statistics

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Ray Bai

Title: Assistant Professor
Department: Statistics
College of Arts and Sciences
Resources: My Website
My Teaching
Curriculum Vitae
Department of Statistics
Ray Bai


My methodological and theoretical research focuses on high-dimensional modeling and scalable machine learning algorithms for large and complex data sets. My recent work has focused on developing flexible methods that relax assumptions such as linearity, Gaussianity, and/or independence. Some of the statistical tools I use include nonconvex optimization, sparsity-inducing priors, and decision tree ensembles. My applied research focuses on meta-analysis, spatiotemporal modeling, and analysis of electronic health records.

Challenge the conventional. Create the exceptional. No Limits.