Hanna Akl is a Paris-based AI researcher and PhD student with a decade of experience bridging neuro-symbolic methods, knowledge graphs, and NLP to enhance reasoning in large language models. She combines applied industry work—building NLP pipelines, ontologies, and production-ready AI features at Yseop—with academic leadership as a research professor and Chief Academic Officer shaping data science curricula. Her research focuses on logical reasoning, semantic web technologies and triplet relation extraction, supervised by leading experts at Inria, and she actively translates theoretical advances into practical ML/semantic web tooling. An educator and mentor, she teaches cloud computing and machine learning while recruiting and coaching faculty and students, bringing rare cross-disciplinary fluency between engineering, pedagogy, and research. Notably, she pairs formal ontology expertise with hands-on ML deployment experience, a blend that powers robust hybrid symbolic-neural solutions.
10 years of coding experience
8 years of employment as a software developer
Executive MBA Business Administration Management and Operations, Executive MBA Business Administration Management and Operations at Quantic School of Business and Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Côte d'Azur
Master of Science - MS Applied MSc in Data Science and AI, Master of Science - MS Applied MSc in Data Science and AI at DSTI - School of Engineering
High School General Science, High School General Science at College Notre-Dame de Jamhour
Bachelor's Degree English Language and Literature General, Bachelor's Degree English Language and Literature General at American University of Beirut
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