I am a computational fluid dynamist in the Theoretical division Fluid Dynamics and Solid Mechanics group at Los Alamos National Laboratory with expertise in numerical methods and modeling of small- and large-scale environmental flows, ranging from the river junction scale to the global ocean, but with an emphasis on mixing processes and coastal dynamics ranging from regional to global scales, large data analysis and machine learning, and biogeochemistry. I am a graduate of the Colorado School of Mines (B.S. summa cum laude) and Stanford University (M.S. and Ph.D.)
My work has centered on understanding mixing processes within complex flows, most recently for secondary flows in channel networks in the Sacramento San Joaquin Delta and geostrophic turbulence in idealized Northern Atlantic and Southern Ocean flows. I use fluid mechanics, algorithms, high-performance computing, software engineering, and advanced visualization techniques to increase knowledge of computation, analysis, and the physics of complex, eddy-driven mixing processes, with emphasis on coastal and climate applications.
My interests are in the broad area of development and application of unstructured computational fluid dynamics, especially nonhydrostatic processes and in-situ Lagrangian particle tracking techniques. My work uses multiple methods to understand physical phenomena, including observations, computational physics, and analysis using a variety of techniques including machine learning. I am currently working on projects related to coastal model development, high-performance particle tracking, and analysis for ocean and coastal modeling and science, in both mid-latitude (Fig 1) and high-latitude environments (Fig 2).