CV

A PDF version of this CV is available here.

Education

• Ph.D. in Computational Engineering, University of Iceland, 2017 (in collaboration with the Jülich Supercomputing Centre)
• M.Sc. in IT-Systems Engineering, University of Potsdam, 2014
• B.Sc. in IT-Systems Engineering, University of Potsdam, 2010

Work Experience

• 2026 – present: Assistant Professor for Scalable and Efficient Machine Learning, TUM Campus Heilbronn
• 2020 – present: Group Leader, Helmholtz AI Energy, Karlsruhe Institute of Technology
• 2018 – 2019: Postdoctoral Researcher, Karlsruhe Institute of Technology
• 2014 – 2017: Doctoral Researcher, Forschungszentrum Jülich
• 2012 – 2015: Software Developer, Hasso Plattner Institute
• 2009 – 2010: Junior Software Developer, mental Images GmbH/NVIDIA

Research Interests

• Scalable and distributed machine learning for high-performance computing
• Energy-efficient and low-rank neural network training
• Scalable clustering, classification, and data analytics for scientific applications
• Sustainable, reproducible research software development

Selected Grants

• Carl Zeiss Breakthroughs – WoW (2025), Principal Investigator
• Helmholtz Association – SLRE (2025), Principal Investigator
• EU Horizon Project – ASSAS (2022), Principal Investigator
• Helmholtz Project Call – ARTIST (2024), Principal Investigator
• HiRSE, indefinite base funding (2021–present), Principal Investigator

Selected Awards

• ACM Gordon Bell Award in Climate Modelling Finalist, 2026
• Best Paper Award, PASC 2026
• EU-SOLARIS Award, 2025
• Best Paper Award, ICONIP 2024
• Best Poster Award, HAICON 2025 & ISC 2025
• Distinction Medal, Master Program, University of Potsdam, 2014

Service and Leadership

• Helmholtz AI Coordinator, Karlsruhe
• AI Spokesperson, Helmholtz Open Science Office
• Program Committee: ECAI, ISC, Euro-Par
• Reviewer: Nature Machine Intelligence, NeurIPS, ICML, ICLR, AAAI