Hi, I'm Thomas Chambon

AI Scientist with 5 years of experience specializing in Deep Learning, Natural Language Processing, and Computer Vision. Skilled in designing advanced NLP pipelines and developing robust computer vision systems. Strong expertise in optimizing and deploying neural architectures into production environments. Fully proficient in the end-to-end AI project lifecycle, from exploratory R&D to large-scale industrialization.

Thomas Chambon
Contact Me!

My main skills

Data science

Pandas, Matplotlib, Numpy, Seaborn, Tableau, Statistical testing

ML & DL

SciKit-Learn, Pytorch & Lightning, TensorFlow, XGBoost, Auto-sklearn

Big Data & Distributed Systems

HPC, SLURM, Apptainer, Docker, Dataiku

Databases & Data Modeling

PostgreSQL, MongoDB, Neo4j (graph modeling)

Mobile Developpement

Design and development of an IoT-based mobile tracking application for urban mobility.
Used by 1,000+ users
(Android/iOS)

Computer Vision

OpenCV, CNNs, Transformers

NLP

LLMs, SpaCy, Gensim

Development Practices

Agile/Scrum methodology, Git, SVN

My Publications

  • 2024: T. Chambon, U. Soulat, J. Lallement, and J. Guillaume, “L'effet de la complexité visuelle de l'information sur l'intention et le comportement de mobilité urbaine” in INFORSID 2024 (Nancy)
    Available here!
  • 2023: Mesure des effets de la complexité de l’information sur les intentions et les comportements de mobilité urbaine : Construction d’un outil d’aide au changement de comportement. THESIS
    Available here!
  • 2023: T. Chambon, J.-L. Guillaume, and J. Lallement, “Information complexity ranking: A new method of ranking images by algorithmic complexity” Entropy, vol. 25, no. 3. (SJR Q2 / IF 2.1)
    Available here!
  • 2023: T. Chambon, U. Soulat, J. Lallement, and J. Guillaume, “The effect of visual information complexity on urban mobility intention and behavior” in RCIS 2023, Proceedings. (CORE ranking B)
    Available here!

Visit my Google Scholar profile
Ecomob project
Research
Ecomob Project

In the context of sustainable mobility, how can information have an impact on user behaviour?

PhD student on the project
Video presentation of ecomob project
Scientific communication
Presentation video of my research work in the ECOMOB project with Ulysse Soulat
FFPTS2020
Scientific communication
FFPTS 2020

Popular science film festival

Scriptwriting and shooting of a short film

Click to view the short!
Graph for image segmentation
Research
Improving Image segmentation with graphs

Evaluation of different community detection methods, consensus methods and graph neural network methods

Post-doctoral position
PhD seminar of the French computer science society
Scientific conference
Société informatique de France 2021 doctoral students' seminar

National event for France's young researchers in computer science

Presentation of my thesis work
PFIA2024
Other
PFIA 2024

French conferences on AI

Member of the organizing committee in charge of sponsorship and website
Young researchers seminars logo (generated by DALL-E 3)

Seminars for young researchers

Once a month, I organize seminars to discuss issues relating to science in general (epistemology, scientometrics, ethics). I also invite researchers to share their research work and methods in computer science, mainly with young researchers.

  • January 2024: Seminar on ontology and knowledge graphs by Georgeta Bordea

Contact

Don't hesitate to contact me!

thomaschambon

chambon.thomas.pro

Thomas-Chambon

Thomas Chambon

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