Charlie SIRE


I am a Postdoctoral researcher at Mines Paris at the Center for Statistics and Images, under the supervision of Mike Pereira and Thomas Romary. My Ph.D thesis was defended at IRSN and was supervised by Rodolphe Le Riche and Didier Rullière. Here is my CV.

Research interests

My research focuses on uncertainty quantification, with applications to spatial and spatio-temporal prediction and Bayesian inference. I work in particular with data defined on compact Riemannian manifolds and with outputs from computationally expensive simulation models.

Publications

• Sire, C., Garnier, J., Kerleguer, B., Durantin, C., Defaux, G., & Perrin, G. (2025). Bayesian calibration for Prediction in a Multi-Output Transposition Context. International Journal for Uncertainty Quantification, 15(6). (link)
• Sire, C., Le Riche, R., Rullière, D., Rohmer, J., Pheulpin, L., & Richet, Y. (2023). Quantizing rare random maps: application to flooding visualization. Journal of Computational and Graphical Statistics, 32(4), 1556–1571. (link)
• Rohmer, J., Sire, C., Lecacheux, S., Idier, D., & Pedreros, R. (2023). Improved metamodels for predicting high-dimensional outputs by accounting for the dependence structure of the latent variables: application to marine flooding, with Jérémy Rohmer, Sophie Lecacheux, Deborah Iidier and Rodrigo Pedreros. Stochastic Environmental Research and Risk Assessment, 37(8), 2919-2941. (link)

Preprints

• Sire, C., & Pereira, M. (2026). Uncertainty Quantification of Spline Predictors on Compact Riemannian Manifolds. (link)
• Sire, C., Pereira, M., & Romary, T. (2025). Spline Interpolation on Compact Riemannian Manifolds. (link)
• Sire, C., Rullière, D., Riche, R. L., Rohmer, J., Richet, Y., & Pheulpin, L. (2025). Augmented Quantization: Mixture Models for Risk-Oriented Sensitivity Analysis.(link)
• Sire, C., Richet, Y., Riche, R. L., Rullière, D., Rohmer, J., & Pheulpin, L. (2023). FunQuant: a R package to perform quantization in the context of rare events and time-consuming simulations. (link)

Teaching

• 2025- Lecturer in the Geostatistics module at Polytech Sorbonne University
• 2024- Teaching Assistant for the Probability course at Mines Paris, PSL
• 2023- Lecturer in the Master IMAM at Université Paris-Saclay.
  Design of Experiments
• 2020-2024 Lecturer in the Data science Major and Master “Maths in Action” at École des Mines Saint-Etienne.
  Design of Experiments, Kriging, Global Optimization (slides)