Biography

I am a Master’s student in Bioinformatics at the University of Copenhagen, currently working on a project in collaboration with Statens Serum Institut. My research focuses on applying machine learning to clinical trial data for tuberculosis, exploring recurrence prediction and the broader use of AI in medicine. I became interested in this field because of its meaningful clinical impact and the many unexplored opportunities within existing biomedical data. I am particularly drawn to how artificial intelligence can support clinical decision-making and drug development.

Expertise

TB Diagnostics
Public Health

Key Impacts

Tuberculosis recurrence prediction: A machine learning approach

Impact details available upon request.

Source: Conference 2024