Olivier Bouët-Willaumez

Identifiants chercheurs

IdHAL :

olivierbouet-willaumez

ORCID :

0009-0001-1744-9205

Présentation

I am currently a PhD student in Computer Science at the Laboratory of Algorithmics, Complexity, and Logic (LACL) at Université Paris-Est Créteil Val de Marne.

My PhD thesis is titled: Machine Learning for Continuous Systems Based on Probabilistic Approximations.

I began my PhD on October 1, 2024, under the supervision of Nihal Pekergin, Benoît Barbot, and Adrien Le Coënt.

Before that, I completed a Master’s degree in Mathematics, Modeling, and Statistical Learning (MMAS) at Université Paris Cité. During this time, I also completed a six-month internship at Dassault Systèmes, where I worked on deep Gaussian processes for multi-fidelity simulation.

Publications

Pré-publication, Document de travail (2)

Sampling methods for probabilistic approximations of ODEs Olivier Bouët-Willaumez,Adrien Le Coënt,Benoît Barbot,Nihal Pekergin 2026 Pré-publication, Document de travail hal-05440887v1
Conservation Analysis and Discrete Probabilistic Approximations for Parameter Estimation of Biochemical Networks Olivier Bouët-Willaumez,Adrien Le Coënt,Benoît Barbot,Nihal Pekergin 2025 Pré-publication, Document de travail (preprint/prepublication) hal-05104966v1