Jacob Aleksandar Siegumfeldt

Jacob Aleksandar Siegumfeldt is an Instructor at the Department of Computer Science (DIKU), University of Copenhagen.

• Key Affiliation: Pioneer AI Section, DIKU

Research in the Pioneer AI section focuses on foundational topics in artificial intelligence, including:

• Computer Vision (fine-grained classification, self-supervised learning, multimodal AI for misinformation detection)
• Medical Image Analysis (large-scale observational studies, brain data analysis)
• Geometric Statistics (shape modeling, phylogenetic inference)

Teaching activities in the section include machine learning, deep neural networks, vision/image processing, and data science courses.