CV

Find my CV here, also available in PDF format.

Basics

Name Thomas Vuillaume
Label Head of Data & AI
Email vuillaume@lapp.in2p3.fr
Phone +33 450 091 673
Url https://vuillaut.github.io/
Summary Head of Data & AI with 10+ years building and operationalizing ML and data systems on large-scale scientific data. I lead teams, set technical direction, and deliver reliable pipelines and models (from prototyping to production-like operations), with a strong focus on software quality, CI/CD, and open-source best practices.

Work

  • 2021.12 - Present
    Research Engineer, Head of Data & AI.
    Laboratoire d'Annecy de Physique des Particules (LAPP), CNRS/IN2P3
    Lead a team of 5 (engineers, PhD students, interns). Own the design, delivery, and maintenance of ML/data pipelines, including code reviews and reliability improvements. Drive open-source initiatives and deliver training (summer schools and university courses).
    • Lead the GammaLearn project (since 2016): deep learning methods and framework for CTAO data analysis
    • Maintainer of CTAO data analysis libraries (design, reviews, releases)
    • Delivered and validated ML models for the CTAO-LST collaboration
    • EVERSE WP3 leader: tooling and services for software quality and FAIRness
    • Architect of the ESCAPE Open-source Software and Services Repository (OSSR)
    • Lead the IDEFICS project supporting socio-economic partners in adopting AI methods
    • Co-lead the IN2P3 ML working group
  • 2016.03 - 2021.11
    Postdoctoral Researcher
    Laboratoire d'Annecy de Physique des Particules (LAPP), CNRS/IN2P3
    Postdoctoral researcher in gamma-ray astronomy, building data analysis pipelines for CTA/LST-1 (image processing, statistics, machine and deep learning, jobs orchestration).
    • Responsible for the real-time analysis of LST-1 (2019-2022)
    • Development and maintenance of data analysis pipelines for CTA using machine and deep learning techniques
    • Analysis of the first data acquired by LST-1
    • Organization of 4 workshops and 4 summer schools on data & ML
  • 2012.10 - 2015.09
    Doctoral Researcher
    Institut de Planétologie et d'Astrophysique de Grenoble (IPAG), UJF
    Modeling of astrophysical emission processes using C and Python, with analytical and numerical approaches.
    • PhD Thesis: Modeling the emission of active galactic nuclei in the Fermi era
    • Supervision of a master's student
    • Teaching mathematics at University

Education

  • 2012.10 - 2015.09

    Grenoble, France

    PhD
    Université Grenoble Alpes
    Astrophysics - Modeling of Active Galactic Nuclei
  • 2011.09 - 2012.08

    Grenoble, France

    Master's degree
    Université Joseph Fourier
    Astrophysics, Plasma, Planets
  • 2008.09 - 2012.08

    Grenoble, France

    Engineer's degree
    Grenoble INP, Phelma
    Nanosciences
  • 2005.09 - 2008.06

    Besançon, France

Volunteer

  • 2023.01 - Present
    Mountaineering Instructor
    Club Alpin Français d'Annecy
    Volunteer mountaineering instructor, leading courses and teaching safety and techniques to club members.
  • 2018.01 - Present
    City Coordinator
    Pint of Science Annecy
    Coordination of the Pint of Science festival in Annecy: organization, communication, and scientific mediation.

Skills

Astrophysics
Active Galactic Nuclei
Gamma-ray Astronomy
Imaging Atmospheric Cherenkov Telescopes
Data Science
Data Analysis
Data Visualization
Statistical Analysis
Machine & Deep Learning
Programming
Python / C / Bash
Numpy / Scipy / Pandas / Scikit-learn / PyTorch
Git / GitHub / GitLab
DevOps / CI-CD
Containerization (Docker / Singularity)
HTC / HPC
MLOps (experiment tracking, model deployment, monitoring) / Feature engineering
Soft skills
Project Management
Team Leadership
Teaching & Training
Scientific Communication
Agile Methods
Open Science & Open Source

Languages

French
Native
English
Fluent
Spanish
Basic

Projects

  • 2016.01 - Present
    GammaLearn
    Deep learning solutions for the Cherenkov Telescope Array Observatory (CTAO). Develops event reconstruction methods and a complete framework to train and deploy deep learning networks.
    • PI of the project since 2016
    • Deep learning for event reconstruction (type, energy, incoming direction)
    • Complete framework for training and deploying DL networks
    • Multiple publications and collaborations with computer science lab (LISTIC) and SME (Orobix)
  • 2020.01 - Present
    IDEFICS
    Project to accelerate digital transition of enterprises and organizations through AI and Big Data. Provides personalized support and access to computing infrastructure (MUST platform) with technical expertise from CNRS and USMB researchers and engineers.
    • Project Leader
    • Access to MUST computing and storage infrastructure
    • Technical and scientific support from CNRS and USMB
    • Co-financing and skill acquisition support for projects
  • 2024.01 - Present
    EVERSE
    European Virtual Institute for Research Software Excellence. Brings together researchers, research software engineers and service providers to improve the quality, sustainability and FAIRness of research software across Europe.
    • WP3 Leader: Tools and services for software quality and FAIRness
    • Surveying existing tooling and identifying gaps in research software
    • Evaluating and integrating tools for software quality and FAIRness
    • Surveying quality indicators and best practices
    • Developing quality indicators dashboard for Science Clusters
  • 2024.11 - 2026.10
    CODEMETASOFT
    2-year grant to create automated frameworks for CodeMeta standard metadata maintenance and enrichment.
    • Co-lead (with Daniel Garijo, UPM)
    • Autocomplete CodeMeta Wizard for simplified metadata creation
    • Automated metadata enrichment and gap detection pipelines
    • Testing on ESCAPE OSSR before rollout to other repositories
  • 2016.01 - Present
    ESCAPE Open-source Software Repository (OSSR)
    Open-source Scientific Software and Service Repository designed and developed as part of the European ESCAPE project. Centralizes scientific software, services, and datasets to foster collaboration and improve discoverability across research infrastructures.
    • Architect of the repository, integration with Zenodo and GitLab
    • Community building, best practices dissemination
    • Support for astroparticle and high-energy physics communities
  • 2012.01 - 2015.12
    Jet Model
    Multi-zone modeling of Active Galactic Nuclei (AGN) jets emissions following the two-flow paradigm. Focus on high-energy emission and physical processes in jets.
    • PhD thesis research (2012–2015)
    • Two-flow model development and numerical implementation
    • Study of Compton rocket acceleration in jets
    • Analysis of spectral energy distribution (SED)
    • Published in A&A and conference proceedings

Interests

Photography
https://thomasvuillaume.com/
Published and awarded works
Exhibitions
Sports
Ski touring ⛷︎
Paragliding
Mountaineering ⛰︎
Climbing
Trail running
Cycling
Travel
Solo world trip 2010–2011
Hosting international travelers
Science communication
Public outreach
Teaching
Event organization