Summary
Younes Müller is a multidisciplinary data scientist and classically trained tenor who blends nine years of software engineering experience with applied machine learning in life sciences. Based in Aachen, he develops TensorFlow/Python hybrid models and helped build a COVID-19 ICU forecasting tool while contributing to joint research between RWTH, Bayer and industry partners. His background spans mobile and desktop application development (Ionic/TypeScript, C#/WPF, Delphi) and software architecture, giving him a pragmatic engineering approach to research problems. Parallel to his tech career, he conducts choirs and performs as a freelance tenor and rehearsal leader, bringing organizational leadership from coordinating a 150-member university choir to professional opera stages. That rare combination of rigorous engineering and high-level musical practice informs a collaborative, systems-minded perspective on complex, human-centered projects.
9 years of coding experience
5 years of employment as a software developer
Choral Conducting, Choral Conducting at Conservatory Maastricht
Bachelor of Science - BS, Informatics, Bachelor of Science - BS, Informatics at RWTH Aachen University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at RWTH Aachen Univewrsity
Bachelor of Music, Singing, Tenor, Bachelor of Music, Singing, Tenor at HfMT Köln