Lars Neustock
Senior Product Engineer at Siemens EDA (Siemens Digital Industries Software)
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolLars Neustock is a Senior Product Engineer and computational physicist with nine years of experience building high-accuracy semiconductor simulation tools and AI/HPC-driven workflows for chip manufacturing at Siemens EDA. He holds a PhD in Electrical Engineering from Stanford and has developed adjoint-based design algorithms that accelerated device optimization from weeks to minutes—work that led to a provisional patent. Lars bridges deep numerical methods (FEM, BEM, parallel solvers) with modern ML tooling (JAX, PyTorch) to optimize physics problems rather than just neural nets. He also designs educational web platforms (Digital Laboratory Twins) and teaches product design at Stanford’s d.school, blending technical rigor with human-centered prototyping. Notable awards span best presentation at EIPBN, a Stanford Centennial Teaching award, and national scholarship honors, reflecting both research impact and dedication to teaching and cross-Atlantic tech collaboration.
9 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Management & Engineering, Bachelor's degree, Management & Engineering at The University of KielUniversity of Erlangen-NurembergDoctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University
English, German, DanishGithub contributions (5)
Larstn/Velocity-Verlet
Jan 2017 - Dec 2018
Contributions:4 PRs, 20 pushes, 6 branches in 1 year 10 months
Larstn/gdsfactory
Jul 2023 - Jul 2023
An open source platform for end to-end photonic chip design and validation
Contributions:4 pushes in 7 days
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