Computer scientist of Mainz University included in new international selection program for scientific computing

Prof. Dr. Sarah M. Neuwirth, Professor of “High-Performance Computing and its Applications” at Johannes Gutenberg University Mainz, has been included in the inaugural “SCW75” list by Scientific Computing World. With this new international selection programme, the publication honours 75 individuals who are shaping the future of scientific computing worldwide, including high-performance computing (HPC) infrastructures and AI-driven research.

Since October 2023, Sarah M. Neuwirth has been Professor at the Institute of Computer Science at JGU and Director of the NHR South-West HPC Center. Her research focuses include parallel storage and file systems, modular supercomputing, performance engineering, and energy-efficient HPC infrastructures.

At the core of her current research is the development of so-called self-explaining storage and I/O systems. These systems capture the context of scientific and AI-based workloads, identify the causes of performance bottlenecks across different system layers, and provide actionable insights for more efficient and sustainable data processing. The aim is to make modern scientific computing infrastructures not only more powerful, but also more transparent, user-friendly, and resource-efficient.

Her inclusion in the SCW75 highlights the international visibility of computer science in Mainz within the strategically important field of high-performance computing, as well as the growing significance of HPC and AI infrastructures as a foundational layer of data-intensive science. Beyond raw computing power, aspects such as usability, sustainability, and system transparency are increasingly becoming central considerations in modern research infrastructures.

The SCW75 brings together leading experts in HPC, simulation, research computing, AI infrastructure, and scientific data processing. The selection programme was launched in 2026 and highlights key individuals who are advancing scientific computing as a foundational infrastructure for modern research and innovation.