Sabine Andergassen

Prof. Sabine Andergassen is an Associate Professor at the Vienna University of Technology (TU Wien), heading the Research Group 'Computational Quantum Science'. She is affiliated with the Faculty of Informatics' Machine Learning Department and the Faculty of Physics' 'Correlations: Theory and Experiments' unit. Her roles include Deputy Director of the iCAIML Doctoral College, coordinator of the Quantum Physics Special Interest Group, and Vice Dean for Academic Affairs of the Master’s Programme in Quantum Information Science and Technology.

Her research focuses on quantum many-body physics, employing renormalization-group approaches to study materials, cold atomic gases, and nanostructures. She explores machine learning applications for high-dimensional data analysis and investigates how quantum many-body theory can enhance machine learning understanding. Key projects include the Austrian Science Fund (FWF)-funded 'Microscopic derivation of effective Hamiltonians' (2024–2027) and collaborations with CONENGA Engineers GmbH.

Recent publications emphasize renormalization-group methods for the Hubbard model, fluctuation diagnostics in quantum systems, and machine learning dynamics of quantum observables. Her work bridges theoretical physics and computational techniques, advancing interdisciplinary research in quantum and machine learning domains.

Grants and projects include FWF support and industry partnerships. She supervises students like S. Voith on neural network applications in industrial systems. Academic leadership roles highlight her contributions to doctoral education and interdisciplinary program coordination.