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Hi there, I'm Thibeau Wouters 👋

I am a PhD student at Utrecht University and affiliated with the Dutch National Institute for Subatomic Physics, Nikhef. In my research, I work on Bayesian data analysis tools for gravitational waves and multi-messenger astrophysics, building fun applications with JAX. Here's a sample of some packages I am currently working on/with:

  • ripple: Differentiable gravitational waveforms with JAX ripple
  • fiesta: Fast inference of electromagnetic signals and transients with JAX fiesta
  • jim: Gravitational-wave data analysis tools in JAX jim
  • flowMC: Normalizing-flow enhanced sampling package for probabilistic inference in JAX jim
  • jose: A JAX-based TOV solver jose
  • NMMA: A pythonic library for probing nuclear physics and cosmology with multimessenger analysis NMMA

ThibeauWouters's GitHub stats

Thibeau Wouters's Projects

ann icon ann

Repository for code for KU Leuven's Artificial Neural Networks course

awesome-jax icon awesome-jax

JAX - A curated list of resources https://github.com/google/jax

bu2023ye icon bu2023ye

Training a surrogate model for Bu2023Ye

fiesta icon fiesta

fiesta: Fast inference of electromagnetic signals and transients with JAX

flowmc icon flowmc

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

gravitational-waves icon gravitational-waves

Storage of introductory Python notebooks on gravitational waves & compilation of open source data and programming packages.

gw-datasets icon gw-datasets

Some datasets to be used in gravitational wave data analysis.

gwfast icon gwfast

A Fisher information matrix python package for GW detector networks.

gwpy icon gwpy

Package for analysing and characterising gravitational wave data in python

jetsimpy icon jetsimpy

A hydrodynamic model of gamma-ray burst jet and afterglow

jim icon jim

Gravitational-wave data analysis tools in Jax

jim_pv2 icon jim_pv2

Runs for IMRPhenomPv2 with the older jim version

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