Samuel Reyd
PhD student at Télécom Paris
Contact
[firstname].[lastname]@telecom-paris.fr
Institutions
- Institute: IP Paris
- University: Télécom Paris
- Department: INFRES
- Laboratory: LCTI
- Team: DIG
- Team: ACES
Projects
See my GitHub repo
Short presentation
I am a PhD student in Télécom Paris. My PhD is co-supervised by Ada Diaconescu and Jean-Louis Dessalles. My research interests lie in machine learning, complex adaptive systems, explanability and causality.
My PhD
I currently work on explainability techniques for complex open cyber-physical systems. This includes methods to generate causal explanations, to identify actual causes, or to produce relevant explanations. You can find a summary here
Research interests
While my PhD mainly focuses on explainability, I am interested in most subjects that relates to artificial intelligence, complex adaptive systems, and causality. I previously worked on deep learning for natural language processing and knowledge graphs. I also have a strong interest for the societal impacts of modern AI such as LLMs or recommendation systems.