Through my educational background and previous work I have specialized in advanced machine learning and statistical modelling of neuroimaging data, in particular functional magnetic resonance imaging (fMRI).
Furthermore I have a profound interest in Bayesian statistics as well as model development and validation. As part of the latter, I am currently using non-invasive brain simulation methods to investigate causal relations.
FMRI and Statistics
MSc. Neuroscience and Neuroimaging, Aarhus University & Chinese Academy of Sciences (UCAS)
BSc. in Engineering, Biomedical Engineering, Technical University of Denmark
2016 - Present
Research Assistant, DRCMR
Krohne, LK, Hansen, RB, Christensen, JAE, Sorensen, HBD & Jennum, P ’Detection of K-complexes based on the wavelet transform’ IEEE Engineering in Medicine and Biology Society. Conference Proceedings, vol. 2014, pp. 5450-5453.