Selected work · Technical focus · Basel Tram Air · LinkedIn
I'm a French engineering student pursuing a double degree in Computer Science at ENSISA and UQAC, with a focus on artificial intelligence.
I'm currently a research intern at the French-German Research Institute of Saint-Louis (ISL), working at the intersection of machine learning, computational imaging, and scientific computing. I enjoy building the full experimental pipeline: from simulation and data preparation to model training, quantitative evaluation, and visualization.
My interests extend to computer vision, inverse problems, and research-oriented ML engineering.
Research on learning-based reconstruction beyond the line of sight, combining transient-light simulation, ML, and quantitative reconstruction analysis.
Research work · Not a public repository |
A hackathon data project exploring PM2.5 air-quality patterns along Basel's tram corridors, with a focus on analysis and visual communication.
Hack am Rhein warm-up · 2026 |
The Basel Tram Air visual is a real project screenshot; the computational imaging visual remains an original conceptual illustration.
| Machine learning | Scientific computing | Engineering |
|---|---|---|
| Python · PyTorch | Mitsuba 3 · Dr.Jit | Linux · Git |
| Model training & evaluation | Simulation & inverse problems | CUDA · Reproducible pipelines |
| Computer vision | Computational imaging | Data processing & visualization |
Learning-based reconstruction, simulation-driven datasets, and reliable evaluation for scientific ML — while building toward a career in machine learning and computer vision engineering.
Open to connecting with researchers and engineers working on ML, vision, and scientific computing.