Research Fellow in gravitational-wave astrophysics at the Institute for Gravitational Research, University of Glasgow. I work within the LIGO-Virgo-KAGRA collaboration, where I co-chair the compact binary science working group.
My research sits at the intersection of Bayesian inference, machine learning, and gravitational-wave data analysis — building the tools and infrastructure that turn detector data into astrophysics at collaboration scale.
| asimov | Workflow orchestration for large-scale scientific analyses. Used in production by LIGO, Virgo, and KAGRA across GWTC-2, GWTC-3, and GWTC-4. |
| heron | Gaussian process surrogate waveform models for Bayesian parameter estimation. |
| gravpy | Gravitational-wave detectability and signal toolkit. |
Bayesian parameter estimation · Gaussian process modelling · Simulation-based inference · Gravitational-wave catalogues · Scientific workflow automation
🌐 daniel-williams.co.uk | 📄 ORCID 0000-0003-3772-198X | 🦋 @daniel-williams.co.uk