Nina Herrmann

Dr. Nina Herrmann is a researcher at the Chair of Machine Learning and Data Engineering (School of Business and Economics, University of Münster). Her work focuses on parallel programming, domain-specific languages (DSL), and algorithmic skeletons for heterogeneous computing environments.

• Education:
  • Bachelor of Information Systems (WWU Münster, 2017)
  • Master of Science in Information Systems (WWU Münster, 2019)
  • Semester abroad at University of Trento (Italy, 2018–2019)

Research Interests revolve around optimizing high-performance computing through algorithmic skeletons, DSL design, and machine learning applications in resource-constrained systems. She has supervised multiple theses on topics including EdgeML methods, memory-efficient ML models, and parallel programming frameworks.

Project Contributions include the ongoing Musket (Muenster Skeleton Tool) for DSL-based parallel code generation, and the completed Muesli (Muenster Skeleton Library), which simplified parallel application development using algorithmic skeletons.

Teaching Activities span courses like Computer Science I/II, Parallel Programming, and specialized seminars on topics including graph machine learning and process mining.

Contact: nina.herrmann@uni-muenster.de