Summary
Sean Butchers is a quantitative developer and PhD researcher in cosmology with nine years' experience applying C++ and Python to particle-physics and cosmic microwave background analyses. He builds and extends production-grade scientific code—contributing cpp_sample to link CppTransport with Cosmosis—to enable Bayesian sampling of inflationary model parameters. His work blends advanced theoretical techniques (differential geometry, perturbation theory, quantum field methods) with practical data engineering using SQL and scientific Python libraries. Awarded best masters project at Sussex, he has a track record of turning complex analytical calculations into reproducible software and peer-reviewed results. Based in Brighton, he’s pursuing a career at the intersection of science, statistics and data engineering, bringing both deep domain expertise and production coding experience.
8 years of coding experience
MPhys Physics with Astrophysics (research placement), Physics, First Class (Grand mean 76%), MPhys Physics with Astrophysics (research placement), Physics, First Class (Grand mean 76%) at University of Sussex
English