Computer Science PhD student · Machine learning · InSAR · Volcano deformation · Geophysical inverse problems
Hello! I'm Louise, a PhD student working at the intersection of remote sensing, volcanic deformation, geophysical modelling, and machine learning.
My research focuses on the use of machine learning and geophysical modelling to analyze volcanic deformation from satellite-based displacement observations. More broadly, I am interested in inverse problems, synthetic data generation, and the transition from controlled simulations to real-world geophysical data.
Image: volcanic uplift illustration, ©ESA.
- LISTIC / Université Savoie Mont Blanc — administrative PhD affiliation
- ISTerre — physical research environment in Grenoble
- MIAI@Grenoble Alpes — PhD funding support
- Laboratoire Magmas et Volcans — PhD supervision context in volcanology and geophysical modelling
⚡ Previous role: I worked as a Software Data Engineer at Odite Sagemcom. My role involved enabling search algorithms to be effectively used by clients, specifically Distribution System Operators (DSOs). I primarily worked on backend development, focusing on building APIs and managing data workflows before and after the application of the search algorithms. This was within the context of improving the distribution and understanding of low-voltage electrical networks.
🎓 Education: I graduated as a Computer Science Engineer from the French engineering university UTC and completed a double degree program at UQAC in Canada. My education provided me with a strong foundation in AI, data science, and software development.
👩💻 Thales DIS: During my internship, I worked as a CX Management Intern at Thales DIS, focusing on cloud migration. I also led the development of an AI LLM tool designed to rapidly analyze customer satisfaction. This project culminated in a proof of concept that my team and I presented at the Thales AI Hackathon, winning first place among 70 entries.
👨💻 Olvid: As a Fullstack Intern at Olvid, I used Vue.js and Java to help company administrators manage and integrate Olvid's secure instant messaging product. This role strengthened my full-stack development skills and highlighted the importance of secure communication within organizations.
I have a hybrid background combining scientific computing, data science, and software engineering.
| Scientific computing & data | Software & engineering |
|---|---|
| Python, NumPy, pandas | Backend development |
| scikit-learn, machine learning workflows | APIs and data workflows |
| matplotlib, data visualization | PostgreSQL and SQL databases |
| Feature extraction and data analysis | Full-stack development experience |
| Synthetic data generation | Git and collaborative development |
Feel free to explore my repositories and see the projects I have been involved in, from academic work to professional and research-oriented projects. Also, don't hesitate to connect with me on LinkedIn to discuss potential collaborations or to share insights on technology, data science, Earth observation, and energy systems.