I am Professor of Medical Physics working in the field of radiotherapy of cancer diseases. I am particularly interested in the use of Artificial Intelligence for planning and personalization of radiotherapy, based on medical imaging. 

My research group is multidisciplinary spanning computer science, medical physics, statistics, biomedical engineering and medical science.  Our research ranges from bleeding edge innovation and development of AI models to implementation, and we have initiated and lead several clinical trials testing the use of AI-assisted radiotherapy. Overall, our aim is to decrease  uncertainty in treatment and enhance personalization through computational methods empowered by artificial intelligence.

I serve as deputy director of the Danish National Research Center for Radiotherapy (DCCC-RT), and am part of the EU Innovative Training Network consortium for Real-time Adaptive Proton Therapy. 

I have research collaborations with the International Atomic Energy Agency (IAEA) focused on the use of Artificial Intelligence for automated radiotherapy processes in low- and middle-income countries.

I furthermore have various collaborations with multiple research groups across Europe and the US..

I lead the research group “Artificial Intelligence and Big Data in Radiation Oncology”, including hosting of a local GPU cluster for computational research. We develop AI models for medical image analysis, and we spearhead trials to investigate the effects of implementing AI in clinical practice. 

I am a core collaborator in the Danish Data Science Infrastructure for Radiotherapy (DESIRE), funded by the Novo Nordisk Foundation.

I furthermore serve as chairperson of the PhD committee at AU Health.