About — in the speaker's own words
I work in the Large-Scale Data Science division at the Jülich Supercomputing Centre (JSC), and I lead the development of Heat, an open-source distributed tensor framework designed for high-performance data analytics. My work focuses on scaling scientific Python applications across multi-node, multi-GPU clusters.
My background is in astrophysics, I joined JSC in 2018 to co-design distributed analytics for scientific domains including aerospace and Earth system modeling. Since 2021, I have led the Heat project, focusing on technical user support, community growth, and project dissemination.