Spokespersons

The DASHH Spokespersons at Deutsches Elektronen-Synchrotron DESY, the University of Hamburg, and the Hamburg University of Technology represent and lead the graduate school and report to the partners and the Helmholtz Association. The spokespersons are nominated and elected by the Institutional Board for a term of three years.

Nina Rohringer is a leading scientist at DESY and full professor at the 1st Institute for Theoretical Physics of UHH. Her research interest is the study of ultrafast interaction of x-rays with matter, in particular the development of new nonlinear x-ray spectroscopic and imaging techniques at x-ray free electron lasers. In addition to her expertise in theoretical and numerical physics, she is also actively involved in experimental campaigns at national and international XFEL sources and is a pioneer in studying stimulated x-ray emission and scattering processes. Nina Rohringer bridges the gap between theory, modeling of experiments, and data analysis. Contact Information: Tel.: +49 40 8998 6258, E-Mail: nina.rohringer@desy.de.

Matthias Rarey, computer scientist by training, Matthias Rarey is a full professor at University of Hamburg heading the ZBH - Center for Bioinformatics since 2002. His research interests are in the development of computational methods for cheminformatics, structure-based molecular design and structural bioinformatics. He has 25 years of experience in developing computational methods for life science applications and is part of the German de.NBI consortium for bioinformatics infrastructure. At UHH, he co-initiated the interdisciplinary study programs B.Sc. Computing in Science and M.Sc. Bioinformatics. Currently, he is heading the PhD committee of the Informatics department. From 2014 to 2023, Matthias Rarey was associate editor of the ACS Journal of Chemical Information and Modeling. Contact Information: Tel.: +49 40 42838 7351, E-Mail: rarey@zbh.uni-hamburg.de.

Daniel Ruprecht holds the Chair for Computational Mathematics at the Institute of Mathematics at Hamburg University of Technology (TUHH). His research focus is on efficient and parallel numerical algorithms for time-dependent differential equations, including the integration of scientific machine learning into numerical solvers. The group's research spans the range from applied mathematics and high-performance computing to applications in geophysical fluid dynamics, engineering, and medicine. Daniel Ruprecht is the Dean of the School of Electrical Engineering, Computer Science and Mathematics at TUHH. Tel.: +49 40 42878 3279, E-Mail: ruprecht@tuhh.de