📝 Bio

Efficient and autonomous, I am a Mathematical Engineer with experiences in AI and Quantum Technologies.

My academic journey began in Marseille with a Preparatory Class for the ‘grandes écoles’ at Lycée Thiers, where I rigorously studied mathematics, physics and chemistry. After two intense years, I wanted to focus on mathematics so I decided to joined EPFL in Switzerland via a transfer admission into the second year of the bachelor in mathematics. I then pursued at EPFL with a Master degree in applied mathematics, focusing on Algorithms, Information Theory and Cryptography, complemented with a minor in quantum science and engineering.

Alongside my studies, I was intern at Quandela, where I developed a mathematical framework for photonic states generation, presented at the 2024 IEEE Quantum Week in Montréal and published in the proceedings of the 2024 IEEE International Conference on Quantum Computing and Engineering article.

I also actively participated in various student associations, such as Ingénieur du Monde and the French literature association PLUME.

In February 2024, I joined Chair of Statistical Field Theory at EPFL for my master’s thesis, working on Neural Data Compression and learning about the close links between neural networks and information theory with hands-on coding experience.

I finally graduated from EPFL and did an internship at the CYD Campus (EPFL innovation park), working on a GNN-based approach to understand and anticipate the evolution of quantum technologies for cyber-defence applications.

Since 2026, I have been working at Dtangle, a company specialised in patent analytics. I design and run analyses that turn patent and scientific literature into structured, auditable evidence: pre-filing and prior-art analyses, cross-patent dependency mapping, concept-level landscapes, and data-quality work such as assignee disambiguation and the audit of open versus proprietary patent data sources. See this post for more.

You can find more information about my experience and past projects I conducted in my Resume.

📘 Teaching

Throughout my academic journey, I enjoyed teaching and had the privilege of assisting younger student at EPFL:

• teaching assistant in Probability and Statistics taught by Professor Matthieu Wilhelm at EPFL, where I helped 2nd year students with their weekly exercises (~ 30 students).
  
• Mentoring program at EPFL, where I carried a group of 1st students beginning their studies at EPFL, mostly by sharing my experience, giving them personalised advice and creating work group (~ 15 students).
  
• I also gave various individual lessons for 1st year student at EPFL in mathematics and physics.
  

🏅 Recognition

• Second best paper of the Quantum Photonics track at the 2024 IEEE International Conference on Quantum Computing and Engineering.
  
• Maths.en.Jeans 2016, Jury’s congratulations for my mathematical work on dynamical systems.