Emily Belli is a sciences manager and physicist with 13 years of experience leading computational plasma research at General Atomics and prior R&D at PPPL. She combines deep theoretical expertise in plasma kinetic theory and numerical simulation with hands-on HPC software development (co-developer of NEO and CGYRO) across C/C++, Fortran, MPI/OpenMP and Python. Her work spans first-principles neoclassical and turbulent transport modeling, order-reduction methods for Eulerian gyrokinetic solvers, and building reduced physics models using analytic theory and neural networks. Based in San Diego and holding a Ph.D. in Astrophysical Sciences from Princeton, she is notable for translating advanced analytic ideas into scalable, production-grade codes that run on HPC systems.
13 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Astrophysical Sciences Program in Plasma Physics, Doctor of Philosophy (Ph.D.) Astrophysical Sciences Program in Plasma Physics at Princeton University
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