CV

yoann.cartier@enpc.fr | website

Last updated Feb 18, 2026

WORK EXPERIENCE

PhD candidate Oct 2023 – present
Ecole nationale des Ponts et Chaussées Paris, France
Characterization of sources of microbiological contamination in rivers using statistical and inverse modeling.

Research intern Feb – July 2023
INRAE - MISTEA Montpellier, France
Impact of climate change on the thermal dynamics of a small urban lake. Use of 1D modeling tools. Sensitivity analysis and model calibration using real data sets.

Research intern Oct 2021 – Apr 2022
Wageningen Environmental Research Wageningen, Netherlands
Modeling natural habitats on a European scale using machine learning, deep learning, and satellite imagery models. Involved in the entire process, from data selection and processing to modeling.

Research intern June – Aug 2021
Laboratoire d’écologie alpine Grenoble, France
Evaluation of machine learning methods for habitat recognition based on environmental data.

EDUCATION

Engineering exchange semester Aug – Dec 2022
Norwegian University of Science and Technology Trondheim, Norway
Courses taken: machine learning, multivariate data analysis, bioacoustics for biodiversity, control of nonlinear systems.

Engineering Sep 2019 – July 2023
Ecole Nationale Supérieure d’Energie, Eau et Environnement Grenoble, France
A leading French school in energy, hydraulics and environmental engineering, part of Grenoble Institute of Technology. Three-year program in: electric power, fluid mechanics, computer science, hydraulics. Specialization: automatic and smart systems.

Pre-engineering Sep 2017 – July 2019
Lycée Gay-Lussac Limoges, France
Preparation in Math and Physics for the competitive entrance exams to French “Grandes Ecoles”.

RESEARCH INTERESTS

Applied mathematics for environmentally sustainable human activities and biodiversity preservation. More specifically:

  • Water quality
  • Optimization
  • Differential equations
  • Statistics
  • Fluid mechanics
  • Sensitivity analysis
  • Machine learning
  • Signal processing
  • Modeling

SUPERVISION

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INTERNSHIPS

Supervisor of M1 student Liyu Lei June – Aug 2025
Ecole nationale des Ponts et Chaussées Paris, France
Evaluation of 1D Modeling for Contaminant Transport by Comparison with 2D Modeling.

STUDENT PROJECTS

Supervisor of L3 students Arthur Montfort, Mehdi Moumen Feb – June 2025
Ecole nationale des Ponts et Chaussées Paris, France
Mathematical modeling of water quality in river.

Supervisor of M1 students Lise Pontoizeau, Albin Champetier, Aby Hermier, Ousswa Halleb, Huang Yuyan, He Haohong, Liang Yuyin Feb – June 2024
Ecole Nationale Supérieure de l’Energie, l’Eau et l’Environnement Grenoble, France
Bio-hydrogen production from microorganisms.

Supervisor assistant of L3 students Emilie Caron, Eline Cholle, Adèle Pagneux, Agathe Prevost Feb – June 2024
Ecole nationale des Ponts et Chaussées Paris, France
Identification of microbial biomarkers of ammonia-related dysfunction in anaerobic digesters.

COMPUTER SKILLS

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COMMUNICATIONS

  • Jun. 26 16th International Conference on Hydroinformatics, Oral Zaragoza
  • Mar. 26 1st Water and AI Congress, Oral Grenoble
  • Dec. 25 6th IAHR Young Professionals Congress, Poster Online
  • Sep. 25 13th Urban Drainage Modelling Conference, Oral Innsbruck
  • May 25 EGU General Assembly, Oral Vienna
  • Nov. 24 5th IAHR Young Professionals Congress, Poster Online
  • Nov. 24 24th Young Mathematicians Forum, Oral Montpellier

PUBLICATIONS

Guillot-Le Goff, A., Cartier, Y., Vinçon-Leite, B., Boyaval, S., Carmigniani, R. “Predicting microbiological contamination in urban rivers: an event-based indicator approach applied to the Seine River during the 2024 Paris Olympic and Paralympic Games”. submitted to Journal of Hydrology (Elsevier).

Cartier, Y., Guillot-Le Goff, A., Métivier, D., Vinçon-Leite, B., Boyaval, S., Carmigniani, R. “Statistical modelling of combined sewer overflow in Paris: from rain characteristics to overflow rate”. submitted to Journal of Hydrology (Elsevier)

Si-Moussi, S., Hennekens, S., Mucher, S., Los, S., Cartier, Y., Jiménez-Alfaro, B., Attorre, F., Svenning, J.-C., Thuiller, W. “Continental-scale habitat distribution modelling with multimodal earth observation foundation models”. submitted to Remote Sensing of Environment (Elsevier)

Cartier, Y., Métivier, D., Guillot-Le Goff, A., Vinçon-Leite, B., Boyaval, S., Carmigniani, R. “Modelling bacterial concentration in combined sewer overflow in Paris using inverse method”. in preparation.

“A (simple) unified calibration framework for one-dimensional lake modelling”. in preparation with Pannard, A., Marquet, A., Vinçon-Leite, B., Paz, C., Casenave, C., Soares, L., Rompais, L., Santoro, P., Cartier, Y.

TEACHING

  • Introduction to AI for water sciences (M2 students, 1h)