Congratulations to Tim Burke who received an award for Best Summary and Presentation in the ANS Mathematics and Computational Division for his summary  “Monte Carlo Estimates of Eigenvalue Sensitivity to System Dimensions using Kernel Density Estimators,” which was presented at the 2017 ANS Annual Meeting.

Tim has been doing excellent work the last several months, learning the techniques of Monte Carlo perturbation theory and applying his doctoral research on kernel density estimation in an innovative way to develop a first-of-a-kind capability that within continuous-energy Monte Carlo calculates response derivatives to geometric perturbations. His work has application to inverse problems in nuclear non-proliferation and to uncertainty quantification of nuclear systems.