CV
Find my CV here, also available in PDF format.
Basics
| Name | Thomas Vuillaume |
| Label | Head of Data & AI |
| 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
-
2011.09 - 2012.08 Grenoble, France
-
2008.09 - 2012.08 Grenoble, France
-
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 |