Katja Naasunnguaq Jagd
Dermato-Venerologisk afdeling og Videncenter for Sårheling, Bispebjerg Hospital
Hospital Indgang 4, Nielsine Nielsens Vej 9, 2400 København NV
2400 København NV
Denmark
Pioneer Centre for AI, Københavns Universitet
Øster Voldgade 3
1350 København
Denmark
Current research
The research project focuses on the development and training of AI models for the analysis of large-scale healthcare data. The project is based on the premise that artificial intelligence relies on human expertise to learn how to process complex clinical data in a meaningful way. The goal is to identify patient archetypes, patterns in disease recurrence, and typical treatment trajectories. These insights are intended to support clinical decision-making, where multiple outcomes often need to be assessed simultaneously. The project particularly emphasizes optimizing the patient journey from initial contact to appropriate treatment, thereby contributing to a more efficient and data-driven healthcare system.
Hovedinteresser
- Artificial intelligence for healthcare data
- Focus on interdisciplinary communication
- Simplify complex topics through visual communication
Kort beskrivelse
Engages with international research environments, driven by curiosity and professional growth.
Participated in the International Bioinnovation Scholar program (Novo Nordisk Foundation) with a startup in California (SandboxAQ, spin-out from Alphabet/Google). Certified in Machine Learning for Business with Python from Stanford University.
During BSc and MSc at DTU, took part in six research projects across five groups, including an industrial project on women’s health.
Publikationer
Jagd, Katja Naasunnguaq, Rachael DeVries, and Ole Winther 2025.