Evan Gonzalez
Computational Physicist
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolEvan Gonzalez is a computational physicist and Nuclear Engineering PhD whose eight-year career centers on developing high-fidelity Monte Carlo particle transport codes in C++ and Python. Currently at Lawrence Livermore National Laboratory, he specializes in simulating neutron, photon, and charged-particle interactions and has implemented multi-level transient and hybrid transport methods in the Shift solver. Beyond research, he teaches machine learning and computational physics to broaden access for underrepresented students and serves on the board of CRANE, blending technical instruction with community leadership. A track record of internships at national labs and project management of hybrid solver development highlights his ability to translate advanced numerical methods into production-quality code. Notably, he pairs deep physics expertise with practical software engineering—bringing rigorous verification and variance-reduction techniques into applied transport simulations.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Nuclear Engineering, Doctor of Philosophy - PhD, Nuclear Engineering at University of MichiganBachelor of Science - BS, Nuclear Engineering, Magna Cum Laude, Bachelor of Science - BS, Nuclear Engineering, Magna Cum Laude at Texas A&M University
Github Skills (6)
monte-carlo7
quadratic7
solver6
transport6
approximation5
kinetics5
Programming languages (1)
Github contributions (5)
esgonzalez/epke-solver
Aug 2019 - May 2021
Exact Point Kinetics Equations (EPKE) solver with quadratic approximation of integration of the precursor equations
Contributions:59 commits, 4 PRs, 39 pushes in 1 year 8 months
equationssolverpointkineticsapproximation
esgonzalez/prototype-mc-features
Jun 2021 - Jul 2022
Contributions:1 push, 1 branch in 1 year
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