Benjamin Daniel Nyberg Shultz

Benjamin Daniel Nyberg Shultz is an Instructor at the Department of Computer Science (DIKU), University of Copenhagen. His work aligns with the Natural Language Processing (NLP) section, focusing on methods for automated text processing, understanding, and generation using statistical models and machine learning.

• Research Focus: Core NLP tasks like parsing, cross-lingual processing, and transfer learning; applications in automatic fact-checking, machine translation, and visually grounded language learning.
• Teaching: Contributes to courses in Computer Science, Machine Learning, and Data Science, including advanced topics in NLP and deep learning.
• Collaboration: Part of the SCIENCE AI Centre, exploring intersections between NLP and computer vision in multi-modal learning.