Summary
Nathaniel Odell is a data scientist in San Francisco with 11 years of experience blending physics research and production analytics. He holds a PhD in Physics from Northwestern University and spent over a decade analyzing data from the Compact Muon Solenoid, developing detector upgrade technologies and translating complex experimental workflows into reproducible code. At Intel since 2022, he applies mathematical modeling, Python and C++ skills to move research-grade methods into industry-scale data problems. Comfortable with low-level tools like LaTeX and Vim, he brings both meticulous scientific rigor and practical software craftsmanship to cross-disciplinary teams. Colleagues rely on him for solving noisy, high-dimensional inference problems informed by real-world instrumentation experience.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Rutgers University-New Brunswick
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Northwestern University