Xinzhe Wu received a Ph.D. degree in Computer Science from Maison de la Simulation & Université de Lille in France in 2019. He joined the Jülich Supercomputing Centre in Germany as a postdoctoral researcher since 2019. His current research interests are in numerical linear algebra, including subspace methods for linear systems and eigenvalue problems, parallel matrix operation optimization, task-based parallel programming and applications of deep/machine learning on material sciences.