High Performance Computing to model disease spread
Thomas Lippert is bringing together experts from his HBP scientific network to obtain precise data on the virus’ spread and drug development as quickly as possible.
Image: FZ Jülich / Ralf-Uwe Limbach
Prof. Dr. Thomas Lippert
Institution: Director of Jülich Supercomputing Centre, Germany
HBP research areas: Leader of HBPs High Performance Computing and Analytics platform
Q: What are you doing at the moment to help address the challenges posed by the novel Coronavirus?
As a matter of urgency, we are bringing together experts from our scientific network to obtain precise data on the virus’ spread and drug development as quickly as possible. The Juelich Supercomputing Centre (JSC) develops mathematical models on the dynamics of the COVID-19 outbreak in Germany, together with the University of Heidelberg and the Frankfurt Institute for Advanced Studies (FIAS). The aim is to understand and control the current pandemic as well as to contribute to preventing future pandemics. The JSC is also offering computing time and support for the investigation of the novel coronavirus, within the scope of a joint initiative by the German Gauss Centres for Supercomputing. Resources for studies concerned with the spread of the virus or with research on the medical or molecular level are offered to experts in an unbureaucratic and fast manner.
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