Foundations in Morocco
I began my studies at FST Beni Mellal(Bachelor's) and continued at INSEA Rabat(Master's), focusing on Mathematical Modeling and Intelligent Systems.
These years gave me a strong foundation in AI and machine learning, covering areas from data analysis to image processing. I graduated ranked second in both programs, reflecting the consistency of my work.
Exploring NLP
During an internship at ICube/INSA Strasbourg, I worked on a question-answering (QA) system for PDF reports using BERT.
This experience introduced me to Transformer models and OCR techniques, showing how unstructured documents can be transformed into structured knowledge. It was an early step in exploring how ML can bridge raw data and real-world applications.
PhD in Medical AI — INRIA Nancy
After completing my studies in Morocco, I moved to France to continue my work in AI and explore new research opportunities. This led me to pursue a PhD, motivated by curiosity and a desire to deepen my understanding of medical applications where AI can support patient care.
I collaborated with the Tangram team and CHRU Nancy on systems for detecting intracranial aneurysms from 3D TOF-MRA data. My research focused on integrating prior knowledge into CNNs and attention-based models, and I developed a strong interest in data-centric approaches to handle limited data and class imbalance.
R&D at DentalMonitoring
After my PhD, I transitioned to an industry role in Paris, working on improving predictive models in production while exploring new modeling approaches. This shift has allowed me to tackle real-world challenges and see how research ideas translate into practical systems.
My responsibilities include monitoring and evaluating models used in dental care, ensuring they remain accurate and reliable for patients. It is a natural continuation of my research, focused on consistent performance in real-world applications.
Research & Publications
I successfully defended my PhD in March 2024. You can explore my thesis, defense slides, or academic publications below.
I continue reading papers and contribute as a reviewer for several journals, staying engaged in research and continuing to learn.
Technical Interests
Programming
Machine Learning
Neural Networks
Medical Imaging
Tools & Ops
Collaboration
Knowledge Sharing
I like documenting my work for both scientific publications and internal teams, aiming to make ideas clear and accessible while helping organize thoughts and ask the right questions.
Data-Centric Rigor
I prioritize the quality of training data over quantity, especially when addressing challenges like class imbalance in sensitive medical datasets.
Clinical Collaboration
I value close collaboration with domain experts to ensure the AI tools we develop are aligned with real-world clinical needs and practical use.
Looking for the technical record?
For a detailed breakdown of my industrial and academic journey, you can reach out via the contact page.