# Alexander Heinlein

TU Delft

DIAM, Faculty of EEMCS

Numerical Analysis

Mekelweg 4, 2628 CD Delft

Room HB 03.290

Tel.: +31 (0)15 27 89135

Alexander Heinlein is assistant professor in the Numerical Analysis group of the Delft Institute of Applied Mathematics (DIAM), Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS), at the Delft University of Technology (TU Delft).

His main research areas are **numerical methods for partial differential equations** and **scientific computing**, in particular, solvers and discretizations based on **domain decomposition and multiscale approaches**. He is interested in **high-performance computing (HPC)** and solving challenging problems involving, e.g., complex geometries, highly heterogeneous coefficient functions, or the coupling of multiple physics. More recently, Alexander also started focusing on the combination of scientific computing and machine learning, a new research area also known as **scientific machine learning (SciML)**. Generally, his work includes the development of new methods and their theoretical foundation as well as their implementation on **current computer architectures (CPUs, GPUs)** and application to real world problems.

## news

May 14, 2024 | During the coming weeks, I will give keynote presentations at the HPCSE24 conference in the Czech Republic and the Preconditioning 2024 conference in the USA. |
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Jan 28, 2024 | I have been invited to speak in the CRUNCH seminar CRUNCH Group, Division of Applied Mathematics, Brown University. My talk on Domain decomposition for physics-informed neural networks is scheduled for March 22nd. Here, you can find the slides and video recording. |

Dec 27, 2023 | I have been featured in the GAMM Rundbrief with a description of my research. |