Scholar
Annie S. Booth
Google Scholar ID: yL2Ik1UAAAAJ
Assistant Professor, Department of Statistics, Virginia Tech
Citations & Impact
Citations
288
H-index
6
i10-index
6
Publications
16
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in journals such as the Journal of Quality Technology, Quality Engineering, and Statistics and Computing, as well as on arXiv, covering topics like deep Gaussian processes for failure probability estimation in complex systems and Bayesian optimization. Collaborated with Kevin Quinlan and Laura Wendelberger on a project funded by Lawrence Livermore National Lab focusing on dimension reduction with deep Gaussian processes. Engaged in a new NSF-funded project to study digital twins of rotating detonation combustors for clean energy production with James Braun.
Research Experience
- Former Assistant Professor of Statistics at NC State University; returning to the Department of Statistics at Virginia Tech starting in 2025.
Education
- Ph.D. in Statistics from Virginia Tech in 2023, with her Ph.D. dissertation selected as a finalist for the 2023 Savage Award.
Background
- Assistant Professor of Statistics at Virginia Tech, specializing in surrogate modeling of computer experiments including uncertainty quantification, active learning, Bayesian optimization, and reliability analysis. Recent focus has been on developing deep Gaussian processes as surrogate models.
Miscellany
- Previously published under her maiden name, Annie Sauer; maintains the open-source R-package deepgp; recently attended the Fall Technical Conference in Houston, TX, to present work on 'Deep Gaussian Processes for Failure Probability Estimation in Complex Systems'.
Co-authors