Patrick Greene is a computational physicist in Mountain View with six years of post-graduate experience applying high-order numerical methods to challenging fluid and material-interface problems. At Lawrence Livermore National Laboratory he has advanced ALE3D’s mesh relaxation and interface-tracking capabilities, inventing a discrete cell-centered weighted condition number approach and a novel discontinuous Galerkin re-distancing method for unstructured meshes. His doctoral work at UCLA produced a bespoke high-order CFD code for hypersonic DNS using cut-cell geometry handling and MPI/OpenMP hybrid parallelism, demonstrating production runs on 1000+ cores. Patrick blends deep theoretical insight with hands-on code development and performance engineering, moving algorithms from prototype DG test codes into nationally important simulation tools. He holds a PhD in Aerospace Engineering with near-perfect grades, and his work reflects a rare combination of numerical analysis, large-scale HPC experience, and practical implementation creativity. An underappreciated strength is his ability to turn advanced mathematical concepts into robust, scalable software used in high-consequence simulations.
6 years of coding experience
7 years of employment as a software developer
De Anza College
Doctor of Philosophy (Ph.D.), Aerospace Engineering, 3.98, Doctor of Philosophy (Ph.D.), Aerospace Engineering, 3.98 at University of California, Los Angeles
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.