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Who am I ?
PhD in Applied Mathematics, I’m interested in Optimization under Uncertainties, Uncertainty Quantification, Data Assimilation, Machine Learning.
- From April 2024 to April 2025, I held a postdoctoral position at ICJ, hosted at École Centrale de Lyon, where I worked on Multi-Objective Optimization under Uncertainties using Bayesian Optimization.
- From december 2021 to december 2023, I was a postdoctoral researcher in the joint laboratory between AI4Sim (Github public repo, which is part of Eviden R&D department, and AIRSEA (Inria research team). In this postdoc, I worked on
- Building preconditioners for Variational Data Assimilation using ML (Preprint)
- Non-Linear Dimension reduction
Research interests
My research interests are (but not limited to)
- Uncertainty Quantification
- Data Assimilation & ML
- Optimisation Under Uncertainties
- Dimension Reduction
- Calibration of numerical models
CV and Resume
Relevant links
Publications and PhD Dissertation
- PhD Dissertation: full-text, web-page (defended on June, 11th 2021)
- Publications
- Orcid / HAL
Science Dissemination
- In a science popularization purpose, a short presentation I made for high-school interns about Optimization and Multiobjective Optimization (in french).
- My former team made a video explaining the modelling of the ocean (in french)
Repositories
- robustGP: I recently put work again on the implementation of a python package to construct and run Adaptive design methods based on Gaussian Processes
- ML_preconditioners: Use ML to construct and test preconditioners in Variational Data Assimilation
- DA_PoC: Library to test and prototype quickly Data Assimilation procedures