Bing Li is a Postdoctoral Research Associate with eight years of experience applying computational mechanics, CFD, and machine learning to environmental and energy problems. He combines strong C++ and Python development—demonstrated by open-source solver work and custom HPC simulation pipelines—with practical expertise in FEA/FVM tools like COMSOL, ANSYS, and OpenFOAM. His PhD research produced HyporheicFOAM, a community-facing 3D multiphysics model for coupled subsurface biogeochemical reactions and solute transport, reflecting both deep domain knowledge and software engineering skill. At Pacific Northwest National Laboratory he builds DEM/lidar-based meshes and couples biochemical modules into Amanzi-ATs for large-scale HPC studies, bridging field data and advanced simulation. Comfortable in CAD and rapid prototyping, he also has hands-on experience turning experimental inputs into validated models (e.g., battery thermal runaway modeling), making him effective at integrating experiments, code, and scalable computation.
8 years of coding experience
Doctor of Philosophy - PhD, Engineering Science and Mechanics, Doctor of Philosophy - PhD, Engineering Science and Mechanics at Penn State University
Summer school, Summer school at Pacific Northwest National Lab
Bachelor of Engineering - BE, Naval Architecture and Ocean Engineering, A+, Bachelor of Engineering - BE, Naval Architecture and Ocean Engineering, A+ at Harbin Institute of Technology at Weihai
Master's degree, Master's degree at Dalian University of Technology
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