About me
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About me

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Since May 2024, I have been a post-doctoral fellow in Statistics at the Université du Québec à Montréal, under the supervision of Cédric Beaulac and Marie-Hélène Descary. We are interested in image analysis using functional and shape analysis tools. Before that, I got my Ph.D. in Applied Mathematics (concentration statistical sciences) at the University of Lille in December 2023 under the supervision of Cristian Preda and Sophie Dabo-Niang. My contributions included developing new supervised methods for cases where the explanatory variables are random multivariate functional variables (time series, images, etc.).

My research interests mainly focus on functional data analysis (FDA), shape analysis, and spatial statistics. In FDA, I'm particularly interested in studying multivariate functional variables for supervised and unsupervised purposes.

Photo credit: Naima Maïzane Moindjié
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Publications

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This is a selection of some of my works. An exhaustive list is available at my Google Scholar account.

Fusion regression methods with repeated functional data.
- Moindjié, I. A., Preda, C., & Dabo-Niang, S. (2025). Computational Statistics & Data Analysis pdf
Classification of multivariate functional data on different domains with Partial Least Squares approaches.
- Moindjié, I. A., Dabo-Niang, S., & Preda, C. (2024). Statistics and Computing, 34(1), pdf
Interactions between ecosystem services and land use in France: A spatial statistical analysis.
- Moindjié, I. A., Pinsard, C., Accatino, F., & Chakir, R. (2022). Frontiers in Environmental Science, pdf

Photo credit: Naima Maïzane Moindjié
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Contact

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Email me if you want to discuss anything academic related (collaboration, my current/past projects,...) or something else.

I will reply as soon as possible (usually the same day).

Photo credit: Naima Maïzane Moindjié