Summary
Alexander Heinlein is an assistant professor of Numerical Analysis at TU Delft with eight years of research and academic experience specializing in numerical methods for PDEs, domain decomposition, multiscale discretizations, and high-performance scientific computing on CPUs and GPUs. He develops both the theoretical foundations and practical implementations of solvers for challenging problems involving complex geometries, highly heterogeneous coefficients, and multiphysics coupling, and has applied his work across international research centers including multiple visits to Sandia and the University of Washington. Recently he has been expanding into scientific machine learning, bridging traditional HPC methods with data-driven approaches to accelerate and enhance simulations. His career blends sustained academic leadership—coordinating data and simulation science—with hands-on code optimization for modern architectures, reflecting a rare combination of rigorous analysis and production-oriented implementation.
8 years of coding experience
1 year of employment as a software developer
Dr. rer. nat., Mathematik, Dr. rer. nat., Mathematik at Universität zu Köln
Mathematik, Mathematik at Universität Duisburg-Essen, Standort Essen
Diplom-Mathematiker, Mathematics, Diplom-Mathematiker, Mathematics at University of Duisburg-Essen