Education

• 2017–2022 M.Sc in Physics, Aarhus University, Denmark
• 2024–2027 PhD student, University of Copenhagen, Denmark

Work

• PhD student, University of Copenhagen
• AI DevOps Engineer
• Data Scientist
• Personal assistant, Center of Functionally Integrative Neuroscience, Aarhus University

Teaching

University of Copenhagen

• Machine learning A, Department of Computer Science, Fall 2024
• Machine learning A, Department of Computer Science, Fall 2025
• Machine learning A, Department of Computer Science, Fall 2026

Aarhus University

• Special Relativity and Astrophysics, Department of Physics and Astronomy

Supervision of Students

• Efficient quantized tensor train representations of images, M.Sc. thesis Youya Xu
• Benchmarking and Optimizing Parallel Inference for Vision-Language Models, M.Sc. thesis Aske Schrader Hougaard

Organization of Scientific Meetings

• Co-organizer, Computational Physics Minisymposium 2026, JuliaCon 2026
  The minisymposium covers numerical methods, algorithms, and software for modeling and simulation in theoretical and computational physics, including testing and benchmarking, with a focus on methods shared across subfields.