Summary
Spenser Anderson is an ML-focused computational engineer with nine years of experience applying data-driven methods to accelerate large-scale physics simulations, currently tackling finite element analysis at Apple. He earned a PhD in Aeronautics and Astronautics from Stanford and translated his academic work on reduced-order models into production-grade, parallel C++ solvers that can speed simulations by orders of magnitude. At TSMC he built and integrated high-performance lithography simulation and ML models for OPC/ILT, and earlier roles span industrial IoT analytics at PARC and flight-hardware development at SpaceX, showing comfort across software, hardware, and field systems. Spenser blends deep numerical/physics expertise with practical engineering—shipping optimized code, ML models, and data pipelines for real-world, high-throughput applications. An under-the-radar strength is his track record of embedding research prototypes into commercial-grade tooling, not just publishing results.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Engineering, Bachelor of Science (BS), Engineering at Harvey Mudd College
Doctor of Philosophy - PhD, Aeronautics and Astronautics, Doctor of Philosophy - PhD, Aeronautics and Astronautics at Stanford University
English