Nikolaj Krebs Pedersen

Nikolaj Krebs Pedersen is a PhD fellow at the IT University of Copenhagen, affiliated with the Digital Business Innovation research group. His work bridges computer science and business applications through practical machine learning solutions.

His research spans critical areas in modern computational business analysis:

• Machine Learning and Neural Networks
• Big Data Analytics systems
• Decision Support Systems design
• Business Value quantification
• Algorithm Complexity trade-offs
• Software Engineering for AI

Between 2022-2024, Pedersen produced three research outputs demonstrating consistent focus on real-world ML applications. His work includes developing the MIDAS Python framework for neural networks, analyzing data volume/complexity trade-offs in business analytics, and solving nesting challenges in decision systems. These contributions reveal an interdisciplinary approach addressing both technical implementation and business impact through systems thinking.