Prof. Dr. rer. nat. Antje Wulff (*1992) completed her B.Sc. degree (ECTS Grade A) in Business Information Systems in cooperation with IBM Deutschland GmbH at the Baden-Württemberg Cooperative State University in Stuttgart. During this time, she worked as an assistant to the IBM Healthcare & Pharma/Life Science Leader, gained experience in IT project management at a large German health insurance company, and worked in business analytics in London (UK). After graduating at the top of her class and inspired by her work in healthcare, she continued with her Master’s studies at the TU Braunschweig, specialising in Medicine and Health at the Peter L. Reichertz Institute for Medical Informatics (PLRI). During this time, she stringently pursued her way by working as a research assistant at Hannover Medical School in the areas of clinical decision support, clinical data repositories, and the reuse of clinical data. After graduating with honours (ECTS Grade A), she obtained her doctorate in 2021 on the topic “Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments” (summa cum laude).

Her research focuses on medical informatics and big data in medicine, particularly on methods and infrastructures for data interoperability and the multiple use of medical routine data, and the design, implementation, and evaluation of interoperable clinical decision-support systems, with application and integration of data-driven algorithms.

Wulff has extensive experience working in university medicine and collaborates closely with a wide range of clinical disciplines in interdisciplinary research projects. She serves as a site coordinator within the German Medical Informatics Initiative (MII) and the Network University Medicine (NUM), contributing to one of the largest national initiatives for medical informatics in Germany. In this context, she is the scientific head of the local data integration center, where she leads the establishment of a standards-based data infrastructure for the reuse of clinical data in research and care, aligned with the national infrastructure. She is also an elected member of the National Steering Committee of the Medical Informatics Initiative in Germany. Beyond national initiatives, Wulff is actively involved in the international interoperability community and contributes to the development and application of medical data standards, particularly within the openEHR community. She also serves as research area lead within the DFG-funded Cluster of Excellence Hearing4all.connects, where she focuses on data-driven approaches for the personalization of hearing support and the design of an open data space for audiology.

Wulff is dedicated to fostering interdisciplinary scientific training and supervises PhD candidates from both computer science and medicine. She also mentors Bachelor’s, Master’s, and medical research thesis students across multiple study programs, including Informatics, Business Information Technology, Medical Information Management, and Medicine. Several of the students she supervised have received awards and scholarships for their outstanding work.

She was awarded the German National Scholarship (Deutschlandstipendium) funded by the Federal Ministry of Education and Research (2014–2015) and received the GMDS Förderpreis for both the best Master’s thesis (2017) and best dissertation (2021). As a postdoctoral researcher at Hannover Medical School, she led projects in the area of data-driven healthcare, one of which was awarded the Lower Saxony Health Award.

In March 2022, Wulff was appointed Assistant Professor for Big Data in Medicine at the Carl von Ossietzky University Oldenburg, where she contributed significantly to the development of nationally funded data integration and exchange infrastructures and data-driven research projects. In January 2024, she was appointed W2 Professor for “Big Data in Medicine” at the Department of Health Services Research at the University of Oldenburg.

Wulff is passionate about advancing data-driven and interoperable solutions for healthcare and about the opportunities that the ongoing digitalisation of medicine offers for the development of personalised and learning health systems.