Summary
Markus Rempfler is a Machine Learning Research Engineer in Zurich with nine years of experience applying ML, computer vision, and signal processing to biomedical image analysis and combinatorial optimization. He holds a PhD in Computer Science from Technical University Munich and an MSc in Biomedical Engineering from ETH Zurich, blending deep academic research with product-focused engineering. After driving image-analysis ML at the Friedrich Miescher Institute, he now works on applied research problems at Apple, translating cutting-edge models into scalable solutions. Known for bridging theory and practice, he combines algorithmic rigor from his doctoral work with hands-on signal-processing experience from industry roles. An atypical strength is his cross-disciplinary background—from telematics and electronics to biomedical imaging—which helps him solve complex, data-rich problems end-to-end.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Bachelor of Science (BSc) at University of Applied Sciences and Arts Northwestern Switzerland FHNW
Professional Baccalaureate, Professional Baccalaureate at GBS Gewerbliche Berufsschule St. Gallen
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technical University Munich
Master of Science (MSc) Biomedical Engineering, Master of Science (MSc) Biomedical Engineering at Eidgenössische Technische Hochschule Zürich
Erasmus exchange, Erasmus exchange at University of Borås