About
I am a computer scientist studying how humans and intelligent systems can collaboratively explore, construct, and communicate knowledge.
My research lies at the intersection of Artificial Intelligence, Learning Sciences, Human–Computer Interaction, and Accessibility. I design human-centered cognitive systems that support learning, collaboration, and knowledge exploration through adaptive, multimodal, and inclusive interactions.
I hold a PhD in Computer Science and am currently involved in the ANR COOBRA project at SICAL/LIRIS (CNRS UMR 5205), where I investigate multimodal interaction, accessibility, and collaborative practices involving visually impaired Braille users.
Across my work, I seek to understand how intelligent technologies can augment human cognitive activities while remaining accessible, explainable, and socially situated.
Research Vision
I investigate how knowledge can be explored, represented, and shared in complex human-AI environments. My work combines computational models, interaction design, and learning sciences to build intelligent systems that adapt to human needs and capabilities.
Three questions guide my research:
- How can intelligent systems support meaningful and lifelong learning?
- How can multimodal and accessible interactions foster knowledge exploration and collaboration?
- How can human-centered AI augment cognitive activities while preserving inclusion, agency, and understanding?
Research Interests
Human-Centered Cognitive Systems
- Artificial Intelligence in Education (AIEd)
- Adaptive and Intelligent Learning Systems
- Human–Computer Interaction for Learning
- Learning Analytics & Educational Data Mining
Knowledge Exploration & Accessibility
- Accessibility and Multimodal Interaction
- Technology-Enhanced Learning
- Computer-Supported Collaborative Learning and Work (CSCL / CSCW)
- Knowledge Representation and Interaction Design