Nikolaj Normann Holm

Nikolaj Normann Holm is a Postdoc researcher at the Department of Applied Mathematics and Computer Science, Statistics and Data Analysis at the Technical University of Denmark (DTU). His research focuses on applying data science techniques to healthcare problems, particularly in the areas of multimorbidity, chronic heart disease, and mortality prediction.

His research interests center on developing and applying advanced statistical and machine learning methods to analyze complex healthcare data. Key areas include multimorbidity clustering, disease progression modeling, and mortality prediction using register-based data. His work bridges the gap between data science and medical research, creating tools that help understand complex disease patterns in population-level healthcare data.

His recent publications demonstrate a strong focus on using variational autoencoders for disease clustering, analyzing co-occurring diseases in chronic heart conditions, and validating machine learning models for mortality prediction. His research consistently applies rigorous data science methodologies to address pressing healthcare challenges, particularly in the Danish healthcare system context.

Dr. Holm actively participates in academic activities including conference presentations, examinations, and teaching. He has organized workshops on chronic disease selection algorithms and served as supervisor for research projects focusing on disease clustering and mortality analysis.