Prof. Jin-Song von Storch | Computational Materials Science | Research Excellence Award

Max-Planck Institute for Meteorology | Germany

Prof. Jin-Song von Storch is a distinguished scientist in computational materials science whose interdisciplinary expertise bridges advanced numerical modeling, statistical physics, and large-scale system simulation. She is widely recognized for her leadership in developing high-resolution computational frameworks that reveal complex interactions between structure, dynamics, and emergent properties in material and physical systems. As a senior researcher and academic leader, she has made foundational contributions to multiscale modeling, stochastic processes, and data-driven approaches that enhance predictive accuracy in complex systems. Her work is characterized by methodological rigor, conceptual clarity, and a strong emphasis on translating theoretical insight into robust computational tools. Prof. von Storch has played a central role in collaborative international research initiatives, where her ability to integrate mathematics, physics, and computation has driven innovation across disciplinary boundaries. In addition to her research excellence, she is deeply committed to academic mentorship, guiding doctoral and postdoctoral researchers while fostering inclusive and intellectually vibrant research environments. She has held key editorial, advisory, and governance roles within major scientific programs, reflecting the high level of trust placed in her expertise and judgment by the global research community. Her scholarly output includes influential journal articles, book contributions, and invited works that continue to shape contemporary thinking in computational and theoretical science. Through sustained scientific leadership, original research vision, and dedication to knowledge advancement, Prof. Jin-Song von Storch exemplifies the qualities recognized by the Research Excellence Award and stands as a leading figure in computational science and interdisciplinary innovation.

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