Personal profile

Short presentation

I aim to utilize big data to identify novel associations within the cardiometabolic area using one of two methods:

1) Epidemiology using large Danish registers or population studies.

2) Deep learning models for powerful ECG analysis with explainble AI.

Teaching

I welcome students at all levels to express their interest. I undertake teaching at the BSc, MSc, and PhD levels.

Education/Academic qualification

Master of Science in Biomedical Engineering

Keywords

  • Faculty of Health and Medical Sciences
  • Machine Learning
  • Electrocardiology
  • ECG
  • Epidemiology

Collaborations and top research areas from the last five years

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