Skip to content
View transientlunatic's full-sized avatar
55 followers · 49 following

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@acrerd @NAM2016HackDay @ligo-asimov

Block or report transientlunatic

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
transientlunatic/README.md

Daniel Williams

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.

Software
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.

Research interests

Bayesian parameter estimation · Gaussian process modelling · Simulation-based inference · Gravitational-wave catalogues · Scientific workflow automation

Find me

🌐 daniel-williams.co.uk  |  📄 ORCID 0000-0003-3772-198X  |  🦋 @daniel-williams.co.uk

Pinned Loading

  1. tikz-feyn tikz-feyn Public

    A LaTeX package to draw Feynman diagrams using TikZ

    TeX 18

  2. minke minke Public

    A Python package to produce Mock Data Challenge data sets for LIGO interferometers.

    Jupyter Notebook 9 2

  3. etive-io/asimov etive-io/asimov Public

    Orchestration and automation for scientific analysis.

    Python 7 2

  4. gravpy gravpy Public

    A python package for gravitational wave astronomy

    Jupyter Notebook 3

  5. heron heron Public

    Heron is a surrogate modelling toolkit for python, using Gaussian process regression.

    Jupyter Notebook 3 1

  6. otter otter Public

    Otter is a simple HTML report generation package for Python.

    Python 3