Michael Williams is a Research Fellow at the Institute of Cosmology and Gravitation, University of Portsmouth, with nine years of experience in gravitational-wave data analysis and astrophysics. He completed a PhD at the University of Glasgow focused on extracting signals from noisy detectors and has a strong MSci foundation in Physics & Astronomy (First Class). His work blends traditional signal processing with machine learning—dating back to summer projects where he developed CNNs to classify binary black hole signals and applied ML to nuclear physics data. Comfortable moving between research code and publication-driven projects, he has hands-on experience building analysis pipelines and multivariate tools used in collaborative experiments. Colleagues describe him as methodical and curious, often connecting techniques across subfields to squeeze extra sensitivity from challenging datasets.
9 years of coding experience
Doctor of Philosophy - PhD, Gravitational wave data analysis, Doctor of Philosophy - PhD, Gravitational wave data analysis at University of Glasgow
Contributions:2 releases, 42 PRs, 58 pushes in 2 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.