Smart Nonlinear Photonics

Welcome

On this personal website, you will find an overview of my research activities, held in the area of nonlinear photonics at the Xlim Research Institute (CNRS - Limoges, France) and within an international network of collaborators.

A complete list of publications is available, and the most common online profiles provide additional conference contributions and open-access publication links.

Presently, content is only in English, but you can also get in touch in French.

Feel free to contact me in case you may need further information, or are interested in joining our team within available vacancies. I will do my best to get back to you as soon as possible...

Research highlights:

Deep learning prediction of noise-driven nonlinear instabilities in fibre optics

We demonstrate that artificial neural networks can predict and bring a certain degree of control in incoherent dynamics, a longstanding challenge in nonlinear fibre optics.

By combining deep learning with optical seeding and real-time acquisition techniques, we are able to tune, predict, and retrieve hidden information from noisy and fluctuating signals. A first step towards an extended control in shaping complex, noise-driven processes in photonics. A work done at XLIM, in collaboration with FEMTO-ST Institute and Leibniz Universität Hannover.

See the full article in Nature Communications (2025)

Single-Photon Level Dispersive Fourier Transform

We leverage quantum-inspired dispersive Fourier transform to characterize ultrafast spectral fluctuations with great sensitivity (< fW), high spectral resolution (~50 pm), and excellent dynamic range (up to ~80dB).

A great way to analyze and push forward the study of nonlinear instabilities and incoherent processes in photonics with improved performances.

A work with the team of Michael Kues (Leibniz University Hannover) featured in Cover of the ACS Photonics Issue of November 2023.

See the full article in ACS Photonics (2023)

Smart supercontinuum

We report on tailored nonlinear interactions during optical pulse fibre propagation: bunches of ultrashort pulses are generated by a photonic chip and controlled via machine-learning techniques to sculpt 'on-demand' broadband output spectra.