Summary
Wassim Gabriel is a PhD researcher at Technical University of Munich with nine years of software and research experience focused on machine learning and deep learning. He holds an MSc in Informatics with a bioinformatics major and has applied ML to medical imaging problems, including image segmentation on liver CT/MRI and GAN-based PET synthesis during industry collaborations. Early roles in data analytics, Android and web development gave him a practical full-stack foundation that informs his experimental work and reproducible pipelines. Based in Munich, he bridges academic rigor and product-focused implementation, moving prototypes toward clinically relevant tools. Notably, his background spans both human–computer interaction and bioinformatics, giving him a rare combination of usability awareness and domain-specific ML expertise.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, B+, Bachelor of Science (BSc), Computer Science, B+ at The German University in Cairo
IGCSE, High School, 109.75%, IGCSE, High School, 109.75% at St. Fatima
Master of Science (MSc), Informatik, 1.9, Master of Science (MSc), Informatik, 1.9 at Technical University Munich
Bachelor of Science (BSc), Informatik Bachelor Thesis, Human Computer Interaction, B+, Bachelor of Science (BSc), Informatik Bachelor Thesis, Human Computer Interaction, B+ at Universität Augsburg
English, Arabic, German