Bio

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Updated 10/02/2026

I am born in France's Landes region, then I moved to Bordeaux at 17 to study chemistry at the University of Bordeaux. 

I completed my Bachelor's in Chemistry (2013 to 2016) to pursue with an International Master in Physical-Chemistry and Chemical-Physics (PCCP) at Bordeaux university, and graduated in 2018. 

During my master, I did an internship with Fabio Busnengo at the IFIR (Instituto de Física de Rosario) in Rosario, Argentina in simulating supersonic beam experiment of CH4 colliding with Ir(111) surface.

Thanks to the Transborder Laboratory (LTCQuantumChemPhys), I subsequently pursued in a PhD in Donostia-San Sebastian, Spain, under the supervision of Maite Alducin and Iñaki Juaristi, focusing on gas/solid interfaces.

In March 2023, I completed my PhD entitled "Dynamics of the photo-induced desorption and oxidation of CO on Ru(0001) with different (O, CO) coverages". My thesis explored CO and atomic O adsorption on the surface of Ru(0001) for various coverages, using Density Functional Theory (DFT) method and ab-initio molecular dynamics including electronic friction (AIMDEF). I also developed a Neural Network Potential Energy Surface (NNPES) to enhance molecular dynamic calculations.

In April 2023, I started a postdoctoral position at the Institut de Sciences Chimiques de Rennes (ISCR) in the CTI team, collaborating with Arnaud Fihey and Mikaël Kepenekian on simulating electrochemical processes on Au nanoparticles and carbon substrates.

In continuation to this post-doc I worked with Benoît Coasne (LIPhy) and Mikaël Kepenekian on a microkinetic reactor model to perform simulation of water gas shift on Mo5N6 material synthesized by Franck Tessier and Stephane Cordier at ISCR.

In April 2025, I moved to Lausanne to start a post-doc with Ursula Röthlisberger at LCBC lab at EPFL. There, I start implementing DFTB+ code to the MiMiC framework for QM/MM calculation. In parallel I participate to the simulation of solar cell devices (also performed in the group of U. Röthlisberger) using machine learning interatomic potential approach.

Yet (2026), I directed one M2 student internship and gave practical classes in General chemistry, and lectures in Atomistic, Crystallography, and Chemistry in solution (accessible in the section Teaching), and practical classes on Atomistic simulation.

My research interests encompass AIMD with electronic friction, solid-state physics, reaction path exploration, machine learning PES, and semi-empirical methods (DFTB). 

I published four papers as first author listed in the section Publications.

I also participated to scientific diffusion events such as: Science festival, or Maths-club in high school, déclic, comptoirs des sciences.