HillaryFairbanks

Postdoctoral Researcher
Center for Applied Scientific Computing
Email: fairbanks5@llnl.gov
Phone: +19254244621

I am a Postdoctoral Research Staff member at the Center for Applied Scientific Computing at LLNL, working with Panayot Vassilevski. My research focus is on the development of non-intrusive, multilevel algorithms for large-scale, nonlinear Bayesian inference. Recently I have been investigating the use of multigrid solvers and multilevel sampling techniques — including multilevel Monte Carlo and multilevel Markov chain Monte Carlo methods — for improved scalability for problems with high-dimensional uncertainty. Prior to my postdoc position, I worked on non-intrusive, multilevel and multi-fidelity model reduction techniques for performing forward uncertainty quantification at CU Boulder, advised by Prof. Alireza Doostan.

Recent work at LLNL:

H.R. Fairbanks, U. Villa, and P.S. Vassilevski. Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo, arXiv:2007.14440 [math.NA] (July 2020). URL https://arxiv.org/abs/2007.14440