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

• I recently attended the Fall Technical Conference in Houston, TX to present my work on “Deep Gaussian Processes for Failure Probability Estimation in Complex Systems”
• Paper on Bayesian optimization with Voronoi candidates was just accepted to Journal of Global Optimization
• Paper on surrogate design for failure probability estimation accepted to Journal of Quality Technology
• Paper on classification with Bayesian (deep) GPs accepted to Quality Engineering
• New paper on Bayesian deep Gaussian processes for cosmological matter power spectra on arXiv

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