Jonas L. Isaksen

Jonas L. Isaksen is a Postdoctoral Researcher at the Department of Biomedical Sciences within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on the physiology of circulation, kidney and lung, with particular emphasis on cardiometabolic research using advanced data analysis techniques.

Dr. Isaksen's research interests span several interconnected domains:

• Application of machine learning and deep learning models for electrocardiogram (ECG) analysis
• Development of explainable AI approaches in cardiology
• Epidemiological studies using large Danish registers and population data
• Identification of novel associations in the cardiometabolic domain
• Creation of synthetic ECG data for open science in medical AI

His publication record demonstrates a strong focus on applying artificial intelligence to cardiac diagnostics, with recent work spanning ECG analysis for dementia prediction, atrial fibrillation management, and mortality risk assessment. His 2025 publications particularly highlight methodological advances in ECG reconstruction and validation frameworks for AI-enabled medical tests.

Dr. Isaksen has received recognition for his work, including the EliteForsk Rejsestipendium in 2021.

As an educator, Dr. Isaksen teaches at all academic levels (BSc, MSc, and PhD), welcoming students interested in his research areas. His work is situated within the research group focused on 'Physiology of circulation, kidney and lung' at the University of Copenhagen.