AdityaĀ Pandare
Scientist at Los Alamos National Laboratory
United States
Summary
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Top SchoolAditya Pandare is a computational fluid dynamics scientist with eight years of experience developing high-order numerical methods for multi-material shock hydrodynamics at Los Alamos National Laboratory. He specializes in discontinuous and continuous Galerkin methods, ALE shock-hydrodynamics, multiphase flows, RANS turbulence modeling, and high-performance implementations using MPI, OpenMP and CUDA. His work spans algorithm development, numerical analysis, adaptive high-order schemes and geometric interface reconstruction, with a track record of peer-reviewed publications and active code contributions on GitHub. Comfortable bridging research and production, he has applied asynchronous parallel strategies and exascale-aware thinking from internships to lead projects at national labs. He holds an MS and PhD in Aerospace Engineering from North Carolina State University and brings both deep theoretical rigor and practical HPC experience to challenging fluid dynamics problems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Aerospace, Aeronautical and Astronautical Engineering, 4.0, Doctor of Philosophy (Ph.D.), Aerospace, Aeronautical and Astronautical Engineering, 4.0 at North Carolina State UniversityBachelor of Engineering (B.E.), Mechanical Engineering, 69.48, Bachelor of Engineering (B.E.), Mechanical Engineering, 69.48 at Maharashtra Institute of Technology
English, Hindi, Marathi
Github Skills (20)
simulation10
load-balancing10
asynchronous-tasks10
parallel-computing10
computational-fluid-dynamics10
fluid-dynamics10
hydrodynamics10
cpp10
cmake-modules8
charm7
scientific-computing6
hpc6
trilinos5
cmake5
code-coverage3
Programming languages (2)
Github contributions (5)
lanl/multimat_1drdg
Sep 2018 - Jan 2021
Contributions:105 commits, 8 pushes, 3 branches in 2 years 4 months
jbakosi/mandelbrot
Aug 2017 - Sep 2017
Contributions:11 pushes, 1 branch in 1 month
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