We’re delighted to announce that Sabrina Herbst has received an Andreas Dieberger-Peter Skalicky Stipend!

The stipend, endowed with €4,000, is aimed at supporting PhD researchers in energy and environment, medical engineering, or information and communication technology. It is intended to provide financial assistance for a range of scholarly activities, including the publication of scientific research, participation in subject-specific conferences, and the coverage of essential expenses related to the research process, including costs associated with research stays. A jury of academic experts from TU Wien carefully evaluates the applications, and selects the recipients based on a combination of general and scientific criteria, including the proposed methodology’s clarity and robustness, the degree of innovation demonstrated in the research project, and its overall scientific relevance and potential impact.

Congratulations to Sabrina on this excellent achievement!

About Sabrina Herbst

Sabrina is a PhD student and project assistant at the Research Unit Computational Sustainability at TU Wien Informatics. She is supervised by Ivona Brandic and Sabine Andergassen as part of the Center for Artificial Intelligence and Machine Learning (CAIML) doctoral school. A data scientist by training, her research is focused on Quantum Machine Learning, i.e., she is working on Machine Learning algorithms for quantum computers and the integration of quantum computers into data centers. Sabrina holds a BSc degree (2021) in Business Informatics and a Dipl.-Ing. (equivalent to MSc, 2023) in Data Science, with specialization in Machine Learning and High Performance Computing, from TU Wien. Since 2024, she has been pursuing a PhD. She has won several scholarships and fellowships, most notably the ETH Zürich Summer Research Fellowship (2023), where she spent 2 months in Prof. Thomas Hofmann’s group at ETH Zürich, researching the efficiency of Large Language models. Beyond that, she has won the Siemens Award of Excellence (2023), the Huawei Seeds for the Future Scholarship (2021), and merit-based scholarships of TU Wien (2019 & 2021). She has publications at top-tier venues in Machine Learning and Quantum Computing, including ICLR 2025 and QCE 2024.

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