Hi. I am Thomas Vuillaume, a data scientist and research software engineer working at LAPP, CNRS.
I hold a master in engineering and a PhD in astrophysics that led me to data science.
I develop data analysis pipelines, including machine and deep learning methods, to extract information from the Cherenkov Telescope Array (CTA) currently under construction.
I also help researchers and scientists to build better and more open science software and tools.
I am leading or actively participating in several projects to achieve these goals:
- WP3 leader in the Horizon Europe EVERSE project, building a European Virtual Institute for Research Software
- PI of the GammaLearn project to develop deep learning methods for the analysis of CTA data
- leader of the IDEFICS project that disseminates knowledge about data sciences and artificial intelligence and helps institutes and businesses take charge of these new technologies
- development of several data analysis libraries: ctapipe (contributor), lstchain (main developer), ctaplot (main developer), IndexedConv (maintainer)
- contributor (former PI) of the real-time analysis for the CTA first Large-Sized Telescope
- task leader in the ASTERICS and ESCAPE European H2020 projects to achieve the integration of the large astronomy and particle physics infrastructure into the European Open Science Cloud.
- architect of the ESCAPE Open-source Scientific Software and Service Repository (OSSR)
I am passionate about mountaineering sports, photography and travel.
Grants
- 2024-2027 EVERSE grant from the European Commission under the INFRAEOSC call
- 2024-2027: DIRECTA grant from the ANR
- 2017-2020: Grant by the Fondation USMB to support Mikaël Jacquemont's PhD
- 2017-2020: Grant from ASTERICS European H2020 project for the GammaLearn project in collaboration with Orobix
- 2012-2015: French national PhD grant - Modélisation de l'émission des noyaux actifs de galaxie à l'ère Fermi.
Reviews
I have reviewed articles for many journals or conferences, including Engineering Applications of Artificial Intelligence, JHEAP, ADASS as well as scientific projects for international grants.PhD thesis:
- A Machine Learning approach for astrophysical X-ray polarimetry with Gas Pixel Detectors, by Nicoló Cibrario
Teaching
- Data Science schools organization and coordination
- 2017 - https://indico.in2p3.fr/event/14227/
- 2018 - https://indico.in2p3.fr/event/16864/
- 2019 - https://indico.in2p3.fr/event/18333/
- 2021 - https://escape2020.github.io/school2021/
- 2022 - https://escape2020.github.io/school2022/
- INFO 801 - Introduction to data science
Curriculum rapidum
- December 2020 - Now : Research Engineer at LAPP, CNRS
- March 2016 - November 2020 : Postdoctoral position at LAPP, CNRS
- January 2016 - February 2016 :
Postdoctoral position at IPAG, CNRS - October 2015 : PhD in Astrophysics, Université Grenoble Alpes
- 2012 :
, Université Joseph Fourier, Grenoble.Master degree Astrophysique, Plasmas, Planètes - 2012 :
- 2012 : Engineering diploma (Master degree) from Phelma, Grenoble INP. Specialization in Physics and Nanosciences.
Bibliography
My complete list of publications is available on Google Scholar
Portfolio
Here is some of my work or projects I mainly contributed to.
GammaLearn à l'affiche
ou comment nous utilisons l'intelligence artificielle et la puissance de calcul de Jean Zay pour analyser les images de CTA
Une histoire de Crabe aux Canaries...
Un résumé de mes activités fin 2019 aboutissant à la détection de la nébuleuse du Crabe par le LST1, premier télescope du réseau CTA (Cherenkov Telescope Array).
A stratified jet model for AGN emission in the two-flow paradigm
Vuillaume et al, 2018. Published in A&A.
GammaLearn
GammaLearn is a framework to apply deep learning techniques to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as The Cherenkov Telescope Array The project focus both on improving reconstruction performances but also providing an environment for the analysis of CTA data with DL.
GammaBoard
GammaBoard is a dashboard developed for Cherenkov Telescopes reconstruction pipelines The dashboard helps keeping track of machine learning experiments and display high-end results in a notebook app to be easily compared.
hipeCTA is a Python 3 library providing High Performance computing algorithms
for the Cherenkov Telescope Array (CTA) low-level data analysis.
It takes advantage of the latest SIMD (Single input multiple data) operations
included in modern processors, for native vectorized optimization of analytical
data processing. It is developed to be used under the ctapipe framework.
pschitt! is a Python package for the modelling of atmoSpheric Showers and CHerenkov Imaging Terrestrial Telescopes.
pschitt! is a software to image an object in the sky by an array of ground telescopes. It is intended to model atmospheric showers and image them with Imaging Atmospheric Cherenkov Telescopes. "pschitt" is a common French onomatopoeia for the sound produced when a rapid production of gas flows, for example when opening a bottle containing carbonated water.
ctaplot
ctaplot ctaplot is a collection of functions to make instrument response functions (IRF) and reconstruction quality-checks plots for Imaging Atmospheric Cherenkov Telescopes such as CTA.
Neuron Detector
Neuron Detector provides macros for fiji to analyze videos and images of neurons activations.
Modeling the Emission of Active Galactic Nuclei at Fermi's Era
My PhD thesis realised at IPAG, CNRS between 2013 and 2016 under the supervision of Gilles Henri and Pierre-Olivier Petrucci
Mathematical optimisation based on genetic algorithms.
Mathematical optimisation is the selection of a best element (with regard to some criterion) from some set of available alternatives. The most common way to minimise a function in science is to use the gradient descent method. Unfortunately, this method has its limitations and is not always applicable. I successfully applied genetic algorithms to the research of best models for the modeling of AGN jets emission. See the research section for more information.
Variation of bulk Lorentz factor in AGN jets due to Compton rocket in a complex photon field
Study of the acceleration of AGN jet through Compton rocket. Published and available in A&A Volume 581, September 2015 and on arXiv.
More info on my research
Out of the lab
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I am passionate about photography. My work has been presented in several contests, exhibitions, and in national newspapers. It has been awarded several times, including the 1st price at Focales en Vercors, 1st place for winter sport photography and Sports photographer of the year at the International Photo Awards.
You may find it on my website www.thomasvuillaume.com
🏔 🎿 🪂 🧗
Mountaineering helps me escape and fill up the batteries.
I practice regularly hiking, climbing, alpinism, paragliding and ski touring in the Alpes around my home.