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
Student research project(s)
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)
- Institute for data valorization, Researcher
- Centre de Recherches Mathématiques (CRM), Member
- Research Group in Decision Analysis (GERAD), Member
Expertise type(s) (NSERC subjects)
- 2805 Learning and inference theories
- 3004 Applied statistics
- 3010 Nonparametric inference
Publications
Recent publications
Report
Report
Report
Journal article
Giroux, J.-S., Breton, S.-P., & Carreau, J. (2024). Interpolation-free deep learning for meteorological downscaling on unaligned grids across multiple domains with application to wind power. (Technical Report n° G-2024-67).
Nath, S., Carreau, J., Kornhuber, K., Pfleiderer, P., Schleussner, C.-F., & Naveau, P. (2024). MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards. (Technical Report n° G-2024-81).
Paoli, A., Carreau, J., & Jalbert, J. (2024). Statistical testing of scaling models for precipitation Intensity-Duration-Frequency curves. (Technical Report n° G-2024-34).
Carreau, J., & Naveau, P. (2023). A spatially adaptive multi-resolution generative algorithm: Application to simulating flood wave propagation. Weather and Climate Extremes, 41, 15 pages.
See all publications (49)
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
-
Master's Thesis (1)
- 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].
