Summary
Morgane Ayle is an AI research engineer based in Munich with eight years of experience applying machine learning and deep learning to real-world problems. Currently at Helsing while completing an M.Sc. in Informatics at TUM, she combines research rigor with product-focused engineering across industry and academia. Her background spans applied roles at Design AI and BMW as well as research contributions at TUM, including co-implementing work on end-to-end probabilistic hierarchies for graphs. She has hands-on experience in active scene understanding, reinforcement learning for annotation correction, and reducing human labeling effort through human-machine interaction. Known for bridging publications and production, she thrives on turning novel ML methods into tools that save time and scale workflows. Fluent in both research and engineering, she brings a strong academic record (AUB and TUM) to fast-moving AI projects.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Informatics, 1.3/1.0, Master of Science - MS, Informatics, 1.3/1.0 at Technical University of Munich
French Baccalaureate, French Baccalaureate at Collège Notre-Dame de Jamhour
Bachelor's degree, Computer and Communications Engineering, 3.95/4, Bachelor's degree, Computer and Communications Engineering, 3.95/4 at American University of Beirut
Arabic, French, English, German