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.
- Parallel processing.
- Low-discrepancy sequences.
About this Website
This website was designed and developed by me. The graph background was generated with NebulaNet. Header background by Valeria Nikitina on Unsplash.
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© 2025 Olivier Bouët-Willaumez. All rights reserved.