Prof. Dr. rer. nat. Dagmar Krefting
Department of Medical Informatics
contact information
- telephone: +49 551 3961500
- e-mail address: dagmar.krefting(at)med.uni-goettingen.de
- location: 1.C.115
- ORCiD: https://orcid.org/0000-0002-7238-5339
secretariat
- telephone: +49 3961 533
Address
Robert-Koch-Straße 40
37075 Göttingen
consulting time
- by arrangement
Profile
Dagmar Krefting is Director of the Institute for Medical Informatics at the University Medical Center Göttingen and holds a professorship in Medical Informatics. She studied Physics and Chemistry at the Georg-August-University of Göttingen, and the University of Montevideo, Uruguay. Her main research focus in her PHD was nonlinear dynamics, where she was granted the Berliner-Ungewetter doctoral thesis award. In 2004, she was postdoctoral researcher at the Fritz-Haber-Institute of the Max-Planck-Society in the group of Gerhard Ertl before she started working at the Institute of Medical Informatics at the Charité-Universtitätsmedizin Berlin. Maintaining the research interest in nonlinear dynamics — then applied to multidimensional biosignal recordings, she investigates the technical and organisational tools and methods to build collaborative biomedical research environments for inter-institutional research networks. In 2011, she joined the University of Applied Sciences Berlin as a Professor for Computer Sciences. She co-founded the Research Cluster Health, the Center for Biomedical Information and Image Processing and the cybersecurity lab. She received the University‘s research prize 2018 and conducted several research projects on collaborative research infrastructures and advances analysis methods, including deep learning methods, since 2019 at the University Medical Center Göttingen. Here she is in particular engaged to create collaborative national biomedical research infrastructures and takes a leading part in the Medical Informatics Initiative, the Network University Medicine. In the German Center for Cardiovascular Diseases, she coordinates the clinical data platform and the transfer office and leads the collaborative research data platform in the upcoming German Center for Child and Youth Health.
Research focus
Collaboration platforms for biomedical research.
A particular focus is on the cross-institutional sharing and analysis of multidimensional biosignal recordings, such as ECG and EEG, but also sensor data collected via wearables. A further focus is on the security, reproducibility and reliability of the research environments, including deep learning methods.
Curriculum vitae
Professional career
- Since 2021 Director (W3) of the Department of Medical Informatics, University Medical Center Göttingen
- 2019 – 2021 Acting Head of the Department of Medical Informatics, University Medical Center Göttingen
- 2016 – 2021 Head of the Center for Biomedical Image and Information Processing (CBMI), HTW Berlin
- 2015 Visiting Professor, Sleep Center, People's Hospital, Beijing, China
- 2011 – 2021 Professor for Computer Science (W2), Berlin University of Applied Sciences (HTW Berlin)
- 2004 – 2011 Postdoc, Department of Medical Informatics, Charité - Universitätsmedizin Berlin
- 2004 Postdoc, Dept. of Physical Chemistry, Fritz Haber Institute Berlin
- 1999 – 2003 Research Associate, Third Institute of Physics, Georg-August University Göttingen
Academic education and training
- 2009 Certificate "Medical Informatics" (equivalent to specialist recognition) of the German Informatics Society (GI) and German Society for Medical Informatics, Biometry and Epidemiology (GMDS)
- 2008 – 2009 Continuing Education Health Care Manager in the qualification program of the Charité - Universitätsmedizin Berlin
- 2003 Doctorate (Dr. rer. nat.) in Physics, Georg-August University of Göttingen
- 1995 Diploma in Physics, Georg-August-University Göttingen
- 1991 – 1999 Study of Physics and Chemistry, Georg-August-University Göttingen
Positions/memberships
- Since 2020 Head of the working group Medical Image and Signal Processing - joint working group of the Department of Med. Informatics and Med. Bioinformatics and Systems Biology (GMDS)
- Since 2019 Member DICOM working group WG-32
- 2019 Member of the GWDG awarding committee
- 2019 Guest Editor, Future Generation Computer Systems
- Since 2018 Founding member and head of the Cybersecurity Lab- HTW Berlin
- Since 2017 Member IEEE Standards Association Big Data Governance and Metadata-Management
- 2017 Guest Editor, Concurrency Computat. Pract. Experiments
- 2017 – 2020 Member Selection Committee DIGITAL (Berlin Equal Opportunity Program)
- Since 2016 Founding Member of the Center for Biomedical Imaging and Processing, HTW Berlin
- Since 2014 Member of the eHealth Program Committee
- Since 2013 Founding member of the Health Research Cluster, HTW Berlin
- Since 2012 Member of the Committee for Research and Early Career HTW Berlin
- Since 2010 Member of Program Committee Biosignals
- Since 2010 Member of Program Committee International Workflows in Support of Large-Scale Science
- Since 2009 Member of Program Committee CCGrid-Health/CCGrid-Life
- 2009 – 2015 Member of Program Committee Distributed Medical Imagingon MICCAI
- 2006 – 2009 Member of the National Executive Board DGrid
- 2005 – 2009 Member of Program Committee Healthgrid
Prizes and awards
- 2018 Research Award of the HTW Berlin
- 2003 Doctoral Award of the Berlin – Ungewitter Foundation
Roles, national infrastructure
- Medical Informatics Initiative (MII); HiGHmed: UMG site spokesperson, Use Case Cardiology coordinator (with Prof. Dr. Udo Bavendiek), CAEHR coordinator (with Prof. Dr. Udo Bavendiek), Education Task Force spokesperson.
- Network University Medicine (NUM); coordinator NUM COMPASS, working group leader B-FAST, coordinator NUM-NUKLEUS (with Prof. Dr. Peter U. Heuschmann and Univ.-Prof. Dr. Jörg Janne Vehreschild), coordinator Codex+ (with PD Dr. med. Sven Zenker).
- German Center for Cardiovascular Research (DZHK): Coordinator Data Processing and Transfer Office of the DZHK Heart Institute.
Funds raised (selection)
2023 – 2027 BMBF: ACRIBiS - Advancing Cardiovascular Risk Identification with structured clinical documentation and Biosignal Derived Phenotypes Synthesis
2023 – 2025 DFG: GUIDE_IT – Guide to data sharing of Imaging Trials
2022 – 2025 BMBF: CONNECT_ED – Development of an intelligent collaboration service for AI-based support of the collaboration between ambulance service and central emergency room
2022 – 2025 EU Commission: Harpocrates – Federated Data Sharing and Analysis for Social Utility
2022 BMBF: National Research Network of University Medicine (NUM) CODEX+ / Collaborative Data Exchange and Useage
2022 BMBF: National Research Network of University Medicine (NUM) – NUKLEUS / Clinical epidemiology and study platform
2022 DFG: DZKJ NFDI4Health - Research Data Management
2022 BMBF: FEDEX – Extension of the Feasibility Explorer for a better visualization of the DZHK data
2021 – 2025 BMBF: CAEHR – Cardiovascular diseases – Enhancing healthcare through cross-sectoral routine data integration
2021 – 2024 Innovation fund of the G-BA: KI-THRUST / Potential of AI-based prediction methods on the basis or routine data
2021 – 2025 BMBF: MitMed – Multimodal interaction system for telemedicine
2021 – 2025 MWK: COFONI – COVID-19 Lower Saxony Research Network
2021 – 2026 EU: Screen4Care – Shortening the path to rare disease diagnosis by using newborn genetic screening and digital technologies
2020 – 2021 BMBF: National Research Network of University Medicine (NUM) – COMPASS / Coordination on mobile pandemic app best practice and solution sharing
2020 – 2021 BMBF: National Research Network of University Medicine (NUM) – B-FAST / Nationwide Research Network Applied Surveillance and Testing
2020 – 2021 BMBF: National Research Network of University Medicine (NUM) – CODEX / COVID-19 Data Exchange Platform
2020 – 2023 BMBF: CORD MI – Collaboration on rare diseases
2020 – 2023 BMBF: ENSURE – Developing smart emergency algorithms through explainable AI processes
2019 – 2024 VolkswagenStiftung and MWK Niedersachsen: Future Lab Lower Saxony
2018 – 2022 BMBF: deep.HEALTH – Analysis of medical data with deep learning methods
2018 – 2022 H2020: ASCLEPIOS – A dvanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare
2018 – 2020 ZIM: H.A.N.D – Development of a device for individualized, non-invasive vital data acquisition
2018 – 2019 BMBF: CBMI-Lab – Infrastructure for biomedical R&D projects
2017 – 2019 IFAF: remo²hbo – Robust and repairable vital signs monitoring in the mobile hospital
2016 – 2021 EFRE: IHDH – Innovation Hub Digital Health
2016 – 2018 DFG: Tawain – Platform for the provision and location-Independent Execution of Analytical Methods in Collaborative Research
2015 – 2019 BMBF: BB-ITBoost – Innovative technologies for biobanks