Olivier Bouët-Willaumez

Bio

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.

Research Interests

• Machine Learning
• Differential Equations (ODE, PDE, SDE)
• Bayesian Networks and Markov Chains
• Parameter Estimation of Biochemical Networks
• Exact and Approximate Model Reduction Methods

About this Website

This website was created and is maintained by me. The background is generated with a Python script available here.