My main research interest is numerical methods for partial differential equations (PDEs), which are clearly important for the simulation of geophysical flows. In scientific computing, numerous issues must be addressed (other than purely mathematical) before one asserts that a particular method is worthy of implementation as a numerical solver. As a post-doctoral fellow with the Computational Fluid Dynamics Laboratory at McGill University, my research focused on parallel computing, iterative solvers and domain decomposition preconditioners. As a scientist at NCAR in the Computational Mathematics Group (Comp Math) of the Institute for Mathematics Applied to Geosciences (IMAGe) part of the Computational and Information Systems Laboratory (CISL), these basic themes have expanded to include efficient time-stepping schemes for hyperbolic systems, high-order space discretization schemes and adaptive mesh refinement. My overall objective is the discovery of novel numerical methods for the construction of atmospheric models.