Summary
Ikram Kaadoud is an AI strategist and eXplainable AI researcher with 11 years of experience bridging cognitive science, machine learning, and organizational transformation. Based in Bordeaux, she designs AI strategy and governance for institutions and SMEs while translating complex research into accessible training, content, and change roadmaps. Her academic work—PhD and postdoc—focuses on extracting human-interpretable knowledge from neural networks and generating multimodal explanations tailored to users’ expertise and context. At INRIA and IMT Atlantique she led projects on Trustworthy AI, the AI Act, and deployment of ethical AI services for industry, combining technical rigor with pragmatic impact. She also teaches AI and cognitive science, supervising interns and PhD students, and uniquely blends hands-on R&D with science communication to boost adoption and trust. Fluently bilingual in French and English, she pairs deep technical skills with a knack for making AI intelligible to non-experts.
11 years of coding experience
11 years of employment as a software developer
Deep Learning, Deep Learning at University of Deusto
Computer Engineer Expert in security and information systems ( 5 years of an IT school), Computer Engineer Expert in security and information systems ( 5 years of an IT school) at EPSI Bordeaux, France
Ph.D. in computer science Informatique et Sciences cognitives, Ph.D. in computer science Informatique et Sciences cognitives at Université de Bordeaux
French, English