I am a research scientist and biomedical engineer with special interests in signal processing and machine learning for computational sleep science. I design algorithms and data processing pipelines for modeling, analysis and visualisation of physiological signals such as EEG, EOG and EMG obtained from nocturnal PSG recordings. Through this work, I hope to further our collective understanding of sleep pathologies, and how they impact human health.
Currently, I work as a postdoctoral researcher at the Section for Cognitive Systems at the Department of Applied Mathematics and Computer Science, Technical University of Denmark, through a LF Postdoc grant from the Lundbeck Foundation.
I also provide consulting services to academic and industry research groups, which include data processing and machine learning pipelines, algorithm development, and data visualization.
In 2020, I graduated with a PhD in Biomedical Engineering from the Technical University of Denmark under the supervision of the late Associate Professor Helge B. D. Sørensen, PhD; Professor Poul Jennum, MD, PhD, from the Danish Center for Sleep Medicine; and Professor Emmanuel Mignot, MD, PhD, from Stanford University.
PhD in Biomedical Engineering
Technical University of Denmark
MScEng in Biomedical Engineering
Technical University of Denmark
BScEng in Biomedical Engineering
Technical University of Denmark