Julie Carreau
Ph.D. computer science (machine learning), University of Montreal
Assistant Professor
Department of Mathematical and Industrial Engineering
Department of Mathematical and Industrial Engineering
Primary sphere of excellence in research
Modeling and Artificial Intelligence
Modeling and Artificial Intelligence
Secondary sphere(s) of excellence in research
Environment, Economy, and Society Energy, Water and, Resources
Environment, Economy, and Society Energy, Water and, Resources
Research interests and affiliations
Research interests
- Stochastic weather simulation
- Spatial disaggregation with semi or non-parametric statistical approaches
- Modeling of extreme weather events, especially precipitation
- Climatic, meteorological, hydraulic and remote sensing data
Affiliation(s)
- IVADO, Researcher
- Centre de Recherches Mathématiques (CRM), Member
- Research Group in Decision Analysis (GERAD), Member
- Mila - Quebec Artificial Intelligence Institute, Associate member
Expertise type(s) (NSERC subjects)
- 2805 Learning and inference theories
- 3004 Applied statistics
- 3010 Nonparametric inference
Publications
Recent publications
Journal article
Journal article
Report
Conference paper
Giroux, J.-S., Breton, S.-P., & Carreau, J. (2025). Interpolation-Free Deep Learning for Meteorological Downscaling on Unaligned Grids Across Multiple Domains with Application to Wind Power. Artificial Intelligence for the Earth Systems.
Nath, S., Carreau, J., Kornhuber, K., Pfleiderer, P., Schleussner, C.-F., & Naveau, P. (2025). MERCURY: A Fast and Versatile Multi‐Resolution Based Global Emulator of Compound Climate Hazards. Journal of Advances in Modeling Earth Systems.
Houssou, V., & Carreau, J. (2025). Spatial pattern regression for gridded meteorological data: A precipitation and temperature case study. (Technical Report n° G-2025-48).
Stache, N., Shakibaeinia, A., Carreau, J., & Matte, P. (2024, September). Evaluation of ML techniques for downscaling hydrodynamic simulations [Paper]. 12th International Conference on Fluvial Hydraulics (River Flow 2024), Liverpool, UK.
See all publications (53)
Biography
I am a professor at the mathematics and industrial engineering department of Polytechnique Montréal. Previously, I held a position as a researcher (junior then senior) for 11 years at the Institut de recherche pour le développement in Montpellier, France. In this context, I spent the last two years in Tunis, Tunisia, at the École Supérieure des Communications de Tunis. I completed all my degrees at the university of Montreal (B.Sc. in pure mathematics, M.Sc. in computational and mathematical finance and Ph.D. in computer science). I had two postdoc fellowships in France (at Laboratoire des Sciences du Climat et de l’Environnement near Paris and at Inria near Grenoble) before I started my position in Montpellier.
Education
- B.Sc. pure mathematics, University of Montreal
- M.Sc. mathematical and computational finance, University of Montreal
- Ph.D. computer science (machine learning), University of Montreal
Supervision at Polytechnique
COMPLETED
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Master's Thesis (3)
- Lemaire, P.-L. (2025). Apprentissage profond pour la réduction d'échelle des précipitations en changements climatiques [Master's thesis, Polytechnique Montréal].
- Stache, N. (2025). Développement d'une méthode de réduction d'échelle pour la prévision des crues [Master's thesis, Polytechnique Montréal].
- Paoli, A. (2024). Développement d'un test d'adéquation sur les modèles d'échelle pour les maxima d'intensité de précipitations. Application aux courbes Intensité-Durée-Fréquence [Master's thesis, Polytechnique Montréal].
- Lemaire, P.-L. (2025). Apprentissage profond pour la réduction d'échelle des précipitations en changements climatiques [Master's thesis, Polytechnique Montréal].
