Thorsten is working with the application readiness team to deliver optimized codes for Cori. He also acts as Liaison for defining and demonstrating application portability between the three major US HPC locations, i.e. NERSC, ALCF and OLCF. He is investigating scalable solutions for scientific deep learning applications.
Before joining NERSC, Thorsten was working as a Postdoc in the Nuclear Science Division at LBNL. He developed and optimized codes for computing multi-baryon correlations in Lattice QCD. He received his PhD from the University of Wuppertal, Germany, in 2011, where he performed calculations for electroweak matrix elements, hadron and quark masses in Lattice QCD. Thorstens further interests are machine learning and data analysis.