Principal Nuclear Engineer at Argonne National Laboratory
Illinois, United States
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Summary
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Jun Fang is a Principal Nuclear Engineer at Argonne National Laboratory with nine years of experience specializing in computational fluid dynamics, unstructured adaptive meshing, and advanced analysis of single- and multiphase turbulent flows. He progressed from postdoctoral researcher to technical lead roles at Argonne after earning a PhD from North Carolina State University, applying research-grade CFD methods to practical nuclear engineering challenges. Jun combines deep numerical expertise with hands-on simulation development, enabling robust modeling of complex multiphase phenomena relevant to reactor safety and design. Based in Illinois, he bridges academia and national-lab practice, translating sophisticated algorithms into validated tools for engineering decisions. A detail that sets him apart is his end-to-end mastery of both mesh generation technologies and turbulence analysis—skills that reduce uncertainty in large-scale multiphysics simulations.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at North Carolina State University
Bachelor's degree, Bachelor's degree at University of Science and Technology of China
Contributions:53 pushes, 1 branch in 2 years 6 months
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Jun Fang - Principal Nuclear Engineer at Argonne National Laboratory