Education
Technical University of Munich
In the QS World University Rankings by Subject, TUM is ranked 19th worldwide in Engineering and Technology.
- Master's in Data Engineering and Analytics
- Focus on Machine Learning applications in the Medical Field
Main Classes
- Introduction to Deep Learning
- Machine Learning for 3D Geometry
Baylor University
Baylor University, ranked 75th nationally by U.S. News.
- Exchange Semester
- Dean's List
Main Classes
- Foundations of Computing
- Database Systems
Al Akhawayn University in Ifrane
Al Akhawayn University is a prominent institution known for its liberal arts education, modeled on the American system.
- Bachelor's Degree in Computer Science
- Graduated as Valedictorian
Main Classes
- Object-Oriented Programming
- Artificial Intelligence
Experience
Infineon Technologies
Working as an AI research intern on the development and implementation of Explainable and Interpretable AI methods for analyzing consumer sensor data.
Siemens
At Siemens, I worked as an IT for Leadership Development Working Student, focusing on concept development, content program implementation, and leadership program development.
Deep Spine & TUM
- Prepared and integrated MRI scans with questionnaire data from 30,000 subjects, ensuring alignment for analysis.
- Developing classification models using PyTorch and employing explainability techniques (e.g., GradCAM) to interpret the impact of lifestyle and clinical parameters on spinal health, with a focus on back pain.
AI in Medicine Lab @ TUM
- Worked under the supervision of PhD students at the AI in Medicine lab to leverage and fine-tune deep learning models for image registration of Vertebrae MRI scans.
Darija NLP Lab @ Al Akhawayn University
- Worked in the development of an offensive language detection model designed for the Moroccan Dialect, achieving remarkable accuracy in identifying offensive language in Moroccan conversations.
- Took charge of the end-to-end research and implementation pipeline, including data collection, preprocessing, labeling, model building, and fine-tuning.
- Worked in the development and open-sourcing of the first human-labeled dataset of Moroccan dialect sentences specifically designed for offensive language detection.
Publications
Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective
Authors: I. Abdellaoui, A. Ibrahimi, M.A. El Bouni, A. Mourhir, S. Driouech, A. Aghzal
Published in: Big Data and Cognitive Computing (MDPI), 2024
My Contributions:
- Developed the methodology for offensive language detection.
- Performed validation and formal analysis of some of the models.
- Conducted data curation and investigation.
- Contributed to drafting the original manuscript, reviewing and editing.
- Created visualizations to illustrate key findings.
About Me
I am a 24-year-old from Midelt, a small town nestled between the Middle and High Atlas mountains in Morocco. Being raised by parents with a scientific background, I was introduced early on to the world of mathematics, logic, and problem-solving. This foundation significantly influenced my academic and professional choices, leading me naturally to pursue computer science, with a particular passion for machine learning. Outside of my academic pursuits, I am passionate about football, both as a fan and as a player for FC Maroc München.
