Summary
Xinzhe WU is a scientific researcher with 11 years of experience specializing in high-performance computing, numerical linear algebra, and parallel programming, based at Jülich Supercomputing Centre. He develops performance-portable dense and sparse linear solvers and eigensolvers, contributing to EU and international projects that optimize materials-science algorithms on hybrid HPC platforms. His background combines a PhD in High Performance Computing with engineering and control-training from institutions in France and China, giving him a rare mix of rigorous numerical theory and practical systems optimization. At Jülich he works on collaborative initiatives like PRACE-6IP WP8, bridging code portability across top supercomputing centers. Beyond algorithms, he applies probability, statistics and machine learning to enhance solver robustness and performance tuning. Colleagues describe him as a researcher who translates deep mathematical insight into scalable, production-ready HPC workflows.
11 years of coding experience
Diplôme d'ingénieur, Diplôme d'ingénieur at Ecole centrale de Lille
Doctor of Philosophy (Ph.D.), High Perfomance Computing, Doctor of Philosophy (Ph.D.), High Perfomance Computing at Université Lille I
Engineer's degree, Engineer's degree at École Centrale de Pékin
Master's degree, Control Engineering, Master's degree, Control Engineering at 北京航空航天大学
French, English, Chinese, German, jin chinese