New position at CMAP

September 1, 2026

I am happy to share that I have started a new postdoctoral appointment at the Centre des Mathématiques Appliquées de l’École Polytechnique, where I am working with Josselin Garnier on new methodologies for uncertainty quantification in high-dimensional online frameworks.

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Pre-print on a digital twin framework

April 21, 2026

In our latest preprint, we introduce the final hybrid framework developed to address clogging in nuclear steam generators. This methodology integrates several components, culminating in a Bayesian fusion mechanism that delivers robust probabilistic estimates of the remaining useful life (RUL) for a given asset.

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ETH Zürich - SMM group seminar

March 20, 2026

I had the pleasure to give a seminar at ETH Zürich in Prof. Chatzi’s Structural Mechanics and monitoring group. It involved our latest published work on Bayesian fusion methods for robust degradation prognostics. The seminar followed very interesting exchanges and research directions with different attendees from the department. More details about the seminar can be found on the following webpage, slides are available here as well as the video below:

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Kalman filtering for prognostics

June 3, 2024

The following presentation is largely based on Tim Sullivan’s UQ book which I highly recommend. It gives clear and concise mathematical presentations of various topics in UQ. Suppose we have a state-observation model that is linear and additive. The state/variable under scrutiny here is linked to a degradation phenomenon, moreover the degradation dynamics here are supposed to be linear. For non-linear dynamics, non-parametric methods exist, especially using particle filters. For the moment let the system be defined as:

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