Scientific Focus

Research interests

• Transparent AI and Deep Learning
• Biomedical signal and image analysis

Current Project(s)

KiMeKo (KI-Med Kollaborationsplattform)

Past Project(s)

PASBADIA (Patientennahe Smartphone-basierte Diagnostik mit lokaler und zentraler KI-Plattform für die Primärversorgung im ländlichen Raum)

Curriculum Vitae

Marlin Siebert received the B.Sc. and M.Sc. degrees in medical engineering science from Universität zu Lübeck, Lübeck, Germany, in 2017 and 2019, respectively. From 2015 to 2019, he intermittently worked as a Research Assistant at the Institute for Medical Engineering and the Institute for Medical Informatics, Universität zu Lübeck. In 2018, he worked as an intern with the Research Team at Dräger AG & Co. KGaA, Lübeck. From 2020 to 2025, he has been associated with the Institute for Electrical Engineering in Medicine as an Associate Researcher and doctoral candidate on deep learning-based image analysis for patient-safe and trustworthy medical diagnostics. He received his doctoral degree from the Universität zu Lübeck in February 2025. Since then, he has been working as a postdoctoral research scientist at the Institute for Electrical Engineering in Medicine on probabilistic data fusion and digital twins for AI-Med applications. He received the Prof. Dr. Werner Petersen-Preis der Technik 2020 and the WGKT-Innovationspreis 2020, both for his outstanding master's thesis, and was awarded at the DGBMT Student Competition in 2022.