I am an Assistant Professor in the Department of Statistics at Virginia Tech. Previously, I was an Assistant Professor of Statistics at NC State University. I earned my Ph.D. in Statistics at Virginia Tech in 2023, and my Ph.D. dissertation was recently selected as a finalist for the 2023 Savage Award. I specialize in 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.
NOTE: I previously published under my maiden name, Annie Sauer.
News and Highlights
- Starting in 2025, I am returning to the Virginia Tech Department of Statistics after 1.5 years at NC State. Go Hokies!

- New paper on surrogate design for failure probability estimation on arXiv
- New paper on monotonic warpings for deep Gaussian processes just accepted to Statistics and Computing
New collaboration with Kevin Quinlan and Laura Wendelberger to study dimension reduction with deep Gaussian processes, funded by Lawrence Livermore National Lab
- I’m starting work on a new project funded by the NSF to study digital twins of rotating detonation combustors for clean energy production, with James Braun
- New paper on contour location with deep Gaussian processes accepted to the Annals of Applied Statistics
- New paper on Bayesian optimization with Voronoi candidates on arXiv
- I attended the 2024 ISBA World Meeting in Venice, Italy to present my dissertation research as a finalist for the Savage Award

To keep this page short and sweet, old news is archived here.