Homepage

Welcome on my personal page, which will be used to share things about my work. I am still trying to learn the ropes of this setup.

Also, I will try to write some posts about things I care about (mostly work-related), and share some small personal projects.

Who am I ?

PhD in Applied Mathematics, I recently started a postdoctoral position at ICJ, hosted at École Centrale de Lyon, where I work on Multi-Objective Optimization under Uncertainties using Bayesian Optimization.

In a Science popularization purpose, a short presentation I made for high-school interns about Optimization and Multiobjective Optimization (in french).

Until 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)
• 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

All of this applied to geophysics.

CV and Resume

• Academic CV
• Professional Resume

Relevant links

Publications and PhD Dissertation

• PhD Dissertation: full-text, web-page (defended on June, 11th 2021)
• Publications
• Orcid / HAL

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

Teaching

• List of teachings