** LISN: Interdisciplinary Numerical Sciences Laboratory **

Paris-Saclay research lab primarily active in **Data** and **Engineering Sciences** with interdisciplinary themes: AI, fluid mechanics, human-computer interaction, language processing, and bioinformatics

### Bienvenu(e)!

I am a CNRS research director, deputy director of the LISN lab, in the DATAFLOT (DAta science, TrAnsition, FLuid instabiLity, contrOl & Turbulence) research group of the **Mechanical Engineering department**,
Paris-Saclay campus in Orsay.

**stochastic modeling**and

**computational mechanics**, with emphasis on:

**physics-informed statistical learning**,

**reduced-order modeling**,

**uncertainty quantification, data assimilation**, sensitivity analysis and

**robust optimization**.

Applications in computational mechanics range from **turbulence modeling**, **heat transfer**, **flow-structure interaction** problems to **biomechanics**, **environmental flows** and **fluid mechanics related to the energy sector**.

NEW: Fall 2023 PhD POSITION opening! Turbulent convection: numerical modelling and physics-enhanced machine learning

### Physics-Informed Machine Learning:

CHECK-OUT this new Stochastic Environmental Research and Risk Assessment paper ! [Nony et al, SERRA 2023]

and this Journal of Computational Physics paper: [Lucor et al, JCP 2022]

The big data and machine learning revolution is gaining traction in the fluid mechanic community as it has changed the way turbulent data can be analyzed to more effectively extract knowledge from it. It becomes now possible to use deep learning to speedup or to (partly) substitute traditional fluid flow PDEs, which were expensive to solve. Nevertheless, generalization errors of those models are considerably improved if some "physics information" (in the form of invariant, first principles, symmetries, etc...) is included/enforced in order to regularize the training. Some effort is put to develop new ML methods along those lines, towards advanced methods for model-order reduction, system identification, PDE solver substitutes and turbulence closures.