Sarah Osborn, LLNL

Sarah Osborn is a researcher in the Mathematical Algorithms & Computing Group within the Center for Applied Scientific Computing at LLNL. Her research interests are uncertainty quantification, particularly multilevel methods for partial differential equations with uncertain coefficients, parallel computing, iterative methods for solving linear systems, preconditioning techniques, and the resiliency of critical infrastructure. Prior to joining LLNL, she received a Ph.D. in Mathematics from Texas Tech University in 2015.

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