Published multiple papers such as 'Vecchia approximated Bayesian heteroskedastic Gaussian processes' (2025), 'Monotonic warpings for additive and deep Gaussian processes' (2025), etc., with preprints or formal publications in various journals.
Research Experience
In Aug 2025, took over as Department Head of Statistics at VT; began work on an NSF project forecasting phytoplankton blooms for drinking water quality in 2023; as of Jan 1 2023, became Editor-in-Chief of Technometrics; received an Outstanding Service Award from the ASA Section on Physical and Engineering Sciences in 2022.
Background
Professor of Statistics, and Head of the Department of Statistics in the College of Science at Virginia Polytechnic and State University (Virginia Tech/VT). Also serves as affiliate faculty in the Computational Modeling and Data Analytics (CMDA) program, and core faculty in the Center for Ecosystem Forecasting. Research interests include Bayesian modeling methodology, statistical computing, Monte Carlo inference, nonparametric regression, surrogate modeling, uncertainty quantification, sequential design, and optimization under uncertainty.