About
I'm Dr.-Ing. Dr.med.univ. Johannes Starlinger, both a medical doctor and a computer scientist, and a TÜV Süd certified specialist for medical software regulatory. For over a decade, I've been working, researching, and teaching in the areas of biomedical and clinical data, data and information systems, big data analytics and data science. Today, I work as a digital health consultant and software developer, and as a lecturer at the intersection of health data, machine learning and information systems, medical device regulatory, and digital health innovation.
After studying medicine at Medical University of Vienna and computer science at HU-Berlin, I joined the DFG-funded graduate program SOAMED in 2010 to research service-oriented architectures in a medical area of application, receiving my PhD in 2015. As a PostDoc in the research group for Knowledge Management in Bioinformatics at the Department of Computer Science at Humboldt-Universität zu Berlin and at the Department of Anesthesiology and Operative Intensive Care Medicine at Charité – Universitätsmedizin Berlin, my research focus was on knowledge mining and representation, similarity search, and predictive analytics over data relevant to the biomedical domain, including genomic and clinical data. I was PI on the simpatix project, funded by a DFG "Temporary Position for Principal Investigators" (Eigene Stelle), technical coordinator in PREDICT, and member of the ASTRODEM project.
After studying medicine at Medical University of Vienna and computer science at HU-Berlin, I joined the DFG-funded graduate program SOAMED in 2010 to research service-oriented architectures in a medical area of application, receiving my PhD in 2015. As a PostDoc in the research group for Knowledge Management in Bioinformatics at the Department of Computer Science at Humboldt-Universität zu Berlin and at the Department of Anesthesiology and Operative Intensive Care Medicine at Charité – Universitätsmedizin Berlin, my research focus was on knowledge mining and representation, similarity search, and predictive analytics over data relevant to the biomedical domain, including genomic and clinical data. I was PI on the simpatix project, funded by a DFG "Temporary Position for Principal Investigators" (Eigene Stelle), technical coordinator in PREDICT, and member of the ASTRODEM project.