Mini Tutorial: Recent Methodological Advances for Integrated T&E

Justin Krometis is a Research Associate Professor with the Virginia Tech National Security Institute and holds an affiliate position in the Math Department at Virginia Tech. He has led the Integrated Testing & Continuous Evaluation line of effort for the Acquisition Innovation Research Consortium's support of DOT&E for the last three years. His research is largely in the development of theoretical and computational frameworks for Bayesian data analysis. These include approaches to incorporating and balancing data and expert opinion into decision-making, estimating model parameters, including high- or even infinite-dimensional quantities, from noisy data, and designing experiments to maximize the information gained. His research interests include: Parameter Estimation, Uncertainty Quantification, Experimental Design, High-Performance Computing, Artificial Intelligence/Machine Learning (AI/ML), and Reinforcement Learning.