A physicist by training, an engineer in practice.

I am currently an Ingénieur Informatique at Phasics (Exosens Group) in Paris, France, a position I began on 15 April 2026. I design and integrate machine learning and computer-vision methods for quantitative phase imaging and scientific instrumentation, building data-processing pipelines that stay robust, scalable, and interpretable in real-world use.

I completed my PhD in Biophysics at Aix-Marseille University on 16 September 2025, jointly affiliated with the Adhesion and Inflammation Laboratory (INSERM U1067 / CNRS UMR 7333) and the Laboratoire d'Informatique et des Systèmes (UMR 7020). My thesis, "Deep Learning-Based Counting and Kinetic Analysis of Bacteriophages from Fluorescence Microscopy," developed a custom TensorFlow architecture for instance-level detection, counting, and localisation of phage-antibody binding events under weak supervision, using TIRF microscopy of antibody-antigen interactions.

The work combined physics-based synthetic datasets grounded in biophysical modelling, domain adaptation across biological conditions and concentration gradients, and physics-informed validation using Poisson statistics, kinetic equations, and simulation models, trained on GPU-accelerated HPC infrastructure with SLURM.

My wider work spans Raman and FTIR spectroscopy, digital pathology, medical imaging, scientific interfaces, and reproducible software. Alongside the research, I have enjoyed contributing to science communication and outreach through scientific cartooning, public talks, and live experiments. I enjoy building tools whose behaviour can be understood, not only benchmarked.