Researchers at Helmholtz Zentrum München together with scientists across Europe developed a novel animal-free method to predict the toxic effect of nanoparticles to the human lung. The method aims to enable the safety-by-design development of safer industrial materials. Our lungs are expose ... more
Dr. Christian Matek
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt GmbH
Christian Matek, born in 1986, received undergraduate degrees in both Physics and Medicine in Munich. He then moved to the UK and finished his DPhil in Theoretical Physics at Oxford University in 2014. Since 2017, his main research interest has been applying artificial intelligence and machine learning techniques in medical diagnostics. In 2020, Christian Matek finished a medical doctorate in that field in a joint project of the Helmholtz Zentrum München and the Department of Medicine III at the University Hospital of the Ludwig-Maximilians-Universität (LMU) München, Munich.
Christian Matek is currently a postdoctoral researcher at the Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany.
The project was supported by the German José Carreras Leukaemia Foundation (Deutsche José Carreras Leukämie-Stiftung) and the German Research Foundation (DFG) through SFB 1243.
Christian Matek’s research interests focus on applying novel computational methods to medical diagnostics, currently mainly in the diagnosis of leukemia.
- Machine learning and AI methods for medical diagnosis
- Digital and computational pathology
- Biophysical modelling