I am an Assistant Professor of Statistics at the University of South Carolina. I joined the Department of Statistics at U of SC in 2020 after spending two years as a postdoc at the University of Pennsylvania under the supervision of Yong Chen and Mary Boland. I obtained my PhD in Statistics from the University of Florida in 2018 under the supervision of Malay Ghosh.
My methodological and theoretical research focuses on high-dimensional Bayesian models and scalable machine learning algorithms for large and complex data sets. I am particularly interested in semiparametric methods, approximate Bayesian inference, and non-convex optimization. My applied research focuses on meta-analysis, spatiotemporal modeling, and analysis of electronic health records.
Graduate students: Interested in working with me? I have projects on: high-dimensional modeling, scalable Bayesian computing, and spatiotemporal statistics. Please feel free to reach out.
Curriculum vitae: CV_Bai (last updated December 2020)
Twitter: @raybai07
Google Scholar: Ray Bai
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