David Gardner
About David Gardner
David Gardner is a computational scientist with extensive experience in atmospheric physics modeling and numerical methods. He has worked at various institutions, including Lawrence Livermore National Laboratory and Southern Methodist University, contributing to significant projects in the field of computational science.
Work at Lawrence Livermore National Laboratory
David Gardner has been a Computational Scientist at Lawrence Livermore National Laboratory since 2016. His work focuses on developing advanced computational methods for atmospheric physics and materials science. He has contributed to the SUNDIALS suite of time integrators and nonlinear solvers as part of the Exascale Computing Project and FASTMath SciDAC Institute. Previously, he served as a Summer Scholar for four months in 2013 and as a Postdoctoral Researcher from 2014 to 2016. His research includes the development of fully implicit time integration methods for dislocation dynamics in the Parallel Dislocation Simulator (ParaDiS) and time integrators for coupled atmospheric physics processes.
Education and Expertise
David Gardner completed his educational journey at Southern Methodist University, where he earned a Doctor of Philosophy (PhD) from 2011 to 2014, a Master of Science (MS) from 2010 to 2011, and a Bachelor of Science (BS) from 2007 to 2009. He also studied at Brookhaven College, obtaining an Associate of Science (AS) degree from 2003 to 2007. His academic background provides a strong foundation in computational science, numerical methods, and atmospheric physics, which he applies in his current research.
Background in Research and Teaching
Before his current role, David Gardner worked as a Research Assistant and Teaching Assistant at Southern Methodist University from 2010 to 2014. His responsibilities included supporting research initiatives and assisting in the instruction of undergraduate courses. Additionally, he served as a Tutor at Brookhaven College from 2005 to 2009, where he helped students in various subjects, enhancing his skills in academic support and mentorship.
Contributions to Atmospheric Physics Models
David Gardner has been involved in a SciDAC collaboration aimed at improving numerical convergence of atmospheric physics models within the Energy Exascale Earth System Model (E3SM). His work includes developing preconditioners for fully implicit integration methods for hydrostatic atmospheric dynamics and implicit-explicit time integrators for non-hydrostatic atmospheric dynamics. These contributions are essential for advancing the accuracy and efficiency of climate modeling.
Experience with Hybrid Continuum-Atomistic Simulations
David Gardner has worked on filtering methods for noisy data in hybrid continuum-atomistic simulations. This research focuses on improving the reliability of simulations that combine continuum mechanics with atomic-scale models. His expertise in this area contributes to the development of more accurate predictive models in materials science and atmospheric dynamics.