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; my Ph.D. dissertation was 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.

NOTE: I previously published under my maiden name, Annie Sauer.

News and Highlights

• I am chairing this year’s Fall Technical Conference which will be held in Charlotte, NC this October. Submission for poster presentations is still open!
• I recently attended the Spring Research Conference in Clemson, SC to present my work on “Two-stage design for failure probability estimation with Gaussian process surrogates” in a special invited session for the Journal of Quality Technology
• Paper on Bayesian deep Gaussian processes for cosmological matter power spectra just accepted to Data Science in Science
• New paper on estimating failure probabilities with Gaussian process surrogates now on arXiv
• New paper on profile Bayesian optimization now on arXiv
• New paper on deep Gaussian processes with gradients now on arXiv
• New paper on identifying joint contours of multiple computer experiments now on arXiv

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