About me

🌊 Turbulent Flows 🧬 AI4Science 🤖 Deep Learning 📉 Reduced-Order Modelling

I am a PhD candidate in Fluid Mechanics at Université de Poitiers. My research focuses on prediction and reduced-order modeling of turbulent flows, leveraging deep learning methods such as autoencoders and transformers.

I am an alumnus of the Von Karman Institute. My European academic journey has taken me across Italy, Belgium, and France, shaping both my research perspective and my appreciation for diverse cultures. Having lived in Belgium for over three years, I remain deeply connected to its culture. However, as a true Italian at heart, pizza reigns supreme.

Latest News

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April 2026
VIVALDy Paper Published: Extended version of the framework presented at AiFluids, Chania

Our latest work published in Physical Review Fluids extends the framework initially presented at AiFluids 2025 with deeper analysis of the learned latent space dynamics.

July 2025
Presented at THMT-25 – Tokyo

An extension of the work presented at EUROMECH 629 was presented at the 11th International Symposium on Turbulence Heat and Mass Transfer (THMT-25) in Tokyo, Japan. A deeper analysis of latent space forecasting was carried out, showing the framework accurately predicts latent space dynamics and preserves chaotic characteristics within one Lyapunov time.

May 2025
VIVALDy debuts at AiFluids – Chania

VIVALDy was presented at AiFluids 2025 in Chania, Greece. It combines a β-VAE-GAN architecture with transformers to model vortex-induced vibrations from cylinder displacement alone.

April 2025
Presented at EUROMECH 629 – London

Our work on modeling near-wall turbulence using a β-VAE-GAN and transformer framework was presented at EUROMECH 629 in London.

February 2025
Presented at DTE AICOMAS 2025 – Paris

At DTE-AICOMAS 2025 in Paris, we presented insights on POD, variational autoencoders, and much more in the context of data-driven fluid mechanics for reduced-order modeling of experimental turbulent flows.

Photos from around the world

A glimpse of the cities where research takes me