Aaron Tumulak is a staff scientist specializing in reactor design and Monte Carlo methods, with a PhD path and an M.S. in Nuclear Engineering from the University of Michigan. He has hands-on experience implementing advanced tallies—including functional expansion tallies and adjoint-weighted diagnostics—in Serpent and MOOSE to enable multiphysics coupling and better convergence analysis. His background spans national labs (Los Alamos, Idaho) and industry (AREVA, JPMorgan quant work), blending rigorous computational physics with modern software practices and unit-tested model development. Aaron’s work crosses disciplines: he pairs deep reactor physics insight with practical software engineering to make stochastic transport tools more usable in multiphysics workflows. Based in Ann Arbor, he’s open to opportunities that let him apply contemporary software design to challenging nuclear engineering problems. An uncommon strength is his proven ability to translate research-grade Monte Carlo methods into production-capable code for large-scale lab environments.
11 years of coding experience
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at University of Michigan
Bachelor of Science (B.S.), Nuclear and Radiological Engineering, Bachelor of Science (B.S.), Nuclear and Radiological Engineering at Georgia Institute of Technology
Contributions:80 commits, 52 pushes, 1 branch in 5 months
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Aaron Tumulak - Staff Scientist at Los Alamos National Laboratory