Stefanie Günther
Staff Researcher at Lawrence Livermore National Laboratory
United States
Summary
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Senior🎓
Top SchoolStefanie Günther is a Staff Researcher at Lawrence Livermore National Laboratory with a decade of experience specializing in optimization for unsteady partial differential equations, adjoint sensitivity analysis, and parallel-in-time integration. She bridges applied mathematics and high-performance computing, advancing deep layer-parallel training methods and scalable optimization workflows for time-dependent systems. Her career spans top research institutions in the US and Germany, including postdoctoral work under the Sidney Fernbach Fellowship and collaborations at MIT and Argonne. Stefanie combines theoretical rigor from a Dr. rer. nat. in Computational and Applied Mathematics with practical software development for HPC, often tackling problems where sensitivity analysis and time-parallelism unlock new performance regimes. An uncommon strength is her focus on integrating adjoint methods directly into parallel-in-time frameworks, enabling both faster simulations and more efficient gradient-based design.
10 years of coding experience
9 years of employment as a software developer
Dipl.-Math., Applied Mathematics, Dipl.-Math., Applied Mathematics at Universität TrierDr. rer. nat., Computational and Applied Mathematics, Dr. rer. nat., Computational and Applied Mathematics at RWTH Aachen University
German, English, French
Github Skills (33)
quantum-algorithms10
quantum-computing10
parallel8
solver7
closed6
statusline6
constrained-optimization6
vimscript6
nonlinear-optimization5
vim5
tabline5
vim-plugin5
machine-learning5
pytorch4
neovim4
Programming languages (4)
Github contributions (5)
steffi7574/dotfiles
Feb 2016 - Aug 2024
Contributions:28 pushes, 1 branch in 8 years 7 months
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