Nicholas Wimer
Principal Engineer And Expert Witness at National Renewable Energy Laboratory
Redlands, California, United States
Summary
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Senior🎓
Top SchoolNicholas Wimer is a Principal Engineer and expert witness with a Ph.D. in thermo-fluids and eight years applying high-fidelity computational methods to real-world problems in fluid dynamics, fire, hydrology, and energy systems. He brings a rare blend of academic rigor and applied consulting—authoring and presenting research on adaptive mesh refinement and low-Mach approximations while delivering software and forensic analyses for flood, stormwater, and combustion cases. At NREL he transitioned cutting-edge simulation work into deployed AI and deep learning solutions for engine control and chemical reaction modeling, demonstrating strength across numerical methods and data-driven approaches. As an independent consultant he pairs technical credibility with courtroom-ready communication, translating complex simulations into clear, auditable findings. Based in Redlands, California, he mentors emerging engineers and leverages both research and industry experience to tackle multidisciplinary modeling challenges. An interesting thread through his career is repeatedly bridging high-resolution physics simulations with practical decision-making tools for industry and legal contexts.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Mechanical Engineering, Bachelor of Engineering (B.Eng.), Mechanical Engineering at Dartmouth CollegeDoctor of Philosophy (Ph.D.), Thermo-Fluids (Computational Fluid Dynamics), Doctor of Philosophy (Ph.D.), Thermo-Fluids (Computational Fluid Dynamics) at University of Colorado Boulder
Italian
Github Skills (21)
simulation9
simulations9
databases9
gpu-acceleration9
hydrodynamics8
database8
pde8
python-scripts7
amr6
refinement5
snl-applications5
machine-learning5
journal5
visualization5
pytorch5
Programming languages (4)
Github contributions (5)
NatLabRockies/pt-melt
Jun 2024 - Jun 2026
PT-MELT (PyTorch Machine Learning Toolbox) is a collection of architectures, processing, and utilities that are transferable over a range of ML applications.
Contributions:1 release, 6 PRs, 16 pushes in 1 year 11 months
machine-learningpytorch
nickwimer/BioReactorDesign
May 2024 - Jul 2026
Bio Reactor Design (BiRD): a toolbox to simulate and analyze different designs of bioreactors in OpenFOAM
Contributions:1 review, 2 PRs, 24 pushes in 2 years 2 months
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