Julie A. E. Christensen
Clinical Associated Professor, Health Technologies, Technical University of Denmark (DTU)
Senior Researcher, Danish Center for Sleep Medicine, Rigshospitalet, Denmark

Dr. Christensen is a former student at DTU, from where she obtained her BSc, MSc and PhD degree in Biomedical Engineering. She has a strong background within digital signal processing and machine learning techniques, and her research focuses on identification of electrophysiological markers for wake and sleep in health and disease. She has 25+ published peer-reviewed papers, and her inter-disciplinary research has been performed in close collaboration with international collaborators at Stanford University, Netherlands Institute for Neuroscience, Bologna University, and Université de Montreal. She stayed for long periods in Stanford and Netherland’s Institute for Neuroscience.

Most of Dr. Christensen’s current research focuses on developing algorithms and data-driven models that can optimize the procedures for analysing sleep by introducing objective and quantitative measures, thereby making sleep analysis less vulnerable to subjective interpretations and non-consistent diagnoses and treatments. Machine learning techniques can identify sleep alteration patterns that are not detectable by manual scoring methods, thereby helping in the improvement of today’s diagnosing procedures for various neurologic and sleep disorders.