Summary
Andrea Essenwanger is a medical informatics specialist with 11 years of experience applying machine learning and computer vision to healthcare problems, currently working as Themenmanagerin at gematik in Berlin. Her background includes a research fellowship at the Berlin Institute of Health and hands-on R&D work at Dräger, where her master’s thesis and internships focused on thermal imaging, annotation tools, and object-recognition pipelines. She bridges research and product by translating academic methods into practical tools and APIs, with recent roles as a FHIR engineer and community expert reflecting strong interoperability and stakeholder engagement skills. Fascinated by human perception, she leverages insights about how people recognize patterns to inform ML model design and data annotation strategies. Known for building usable annotation systems and data access layers early in her career, she combines technical depth with an eye for human-centered solutions in health tech.
11 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.), Medizinische Informatik, Master of Science (M.Sc.), Medizinische Informatik at Universität zu Lübeck
German, English, Spanish, French