I’m an Assistant Professor in the Department of Statistics at NC State. My research focuses on surrogate modeling of computer experiments including uncertainty quantification, active learning, Bayesian optimization, and reliability analysis. My recent focus has been on developing deep Gaussian processes as surrogate models; I maintain the open-source deepgp R-package on CRAN.

I earned my Ph.D. in Statistics at Virginia Tech in 2023, where I was advised by Bobby Gramacy and Dave Higdon.

Click here to view my complete CV.

NOTE: The best way to reach me is through email at annie_booth@ncsu.edu.

Recent News

• In 2023, I married and changed my name from Annie Sauer to Annie (Sauer) Booth
• New paper on Bayesian optimization on arXiv
• New paper on contour location with deep Gaussian processes on arXiv
• New publication in the AIAA Scitech Conference Proceedings
• I presented at the 2024 SIAM Conference on Uncertainty Quantification in Trieste, Italy

• I am now serving as Associate Editor for Technometrics
• At the 2023 Fall Technical Conference, I served on a panel on Artificial Intelligence with Simon Mak, Alyson Wilson, and David Banks