Prof. Dr. Stephan Seifert

Stephan Seifert studied chemistry at Humboldt University in Berlin, earning his doctorate in the research group "Nanoscale Optical Spectroscopy" by focusing on the classification and characterisation of pollen. From 2016 to 2020, he was a postdoctoral researcher at the Institute for Medical Informatics and Statistics at Christian-Albrechts-Universität zu Kiel, where he developed and validated machine learning methods to investigate chronic inflammatory skin diseases, such as neurodermatitis and psoriasis. Since March 2020, he has been a professor of chemometrics at the University of Hamburg and in the Cluster of Excellence “Understanding Written Artefacts.” His research focuses on the development and validation of chemometric methods and their practical application in various research areas such as food chemistry and manuscript research.