Charlie SIRE
I am a Postdoctoral researcher at
Mines Paris at the Centre for geosciences and geoengineering, 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
I work on uncertainty quantification in the context of expensive-to-evaluate simulators and spatio-temporal statistics. My research is primarily based on Gaussian Processes, applied to various challenges such as quantization, optimization, design of experiments, Bayesian calibration, and SPDE-based approaches.
Preprints
- Bayesian calibration for Prediction in a Multi-Output Transposition Context , with Gilles Defaux, Cédric Durantin, Josselin Garnier, Baptiste Kerleguer et Guillaume Perrin (2024). (HAL)
- Augmented quantization: a general approach to mixture models, with Didier Rullière, Rodolphe Le Riche, Jérémy Rohmer, Yann Richet, and Lucie Pheulpin (2023). (HAL)
- FunQuant: a R package to perform quantization in the context of rare events and time-consuming simulations, with Yann Richet, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, and Lucie Pheulpin (2023). (HAL)
Articles accepted for publication
- Quantizing rare random maps: application to flooding visualization, with Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin and Yann Richet. Journal of Computational and Graphical Statistics (2023) (link)
- 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 (2023) (link)
Teaching
- Teaching Assistant for the Probability course at Mines Paris, PSL
- Lecturer in the Data science Major and Master “Maths in Action” at École des Mines Saint-Etienne.
Design of Experiments (slides 1, slides 2), Kriging, Global Optimization (slides)
- Lecturer in the Master IMAM at Université Paris-Saclay.
Design of Experiments