Lærke Karen Krohne




Ph.D. student

Research Interests

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.

Curriculum Vitae



MSc. Neuroscience and Neuroimaging, Aarhus University & Chinese Academy of Sciences (UCAS)


BSc. in Engineering, Biomedical Engineering, Technical University of Denmark


2017 - Present

Ph.D. student, DRCMR

2016 - 2017

Research Assistant, DRCMR

2011 - 2014

Student Counselor, Technical University of Denmark (DTU)

2013 - 2014

Teaching and presentation development, LearningLab DTU

Full CV


Madsen, K. H., Krohne, L. G., Cai, X-L., Wang, Y. & Chan, R. C. K.
Perspectives on Machine Learning for Classification of Schizotypy Using fMRI Data.
Schizophrenia Bulletin (2018).

Krohne, L. K. & Madsen, K. H.
Functional Connectivity during Theory of Mind and Empathy tasks, using Machine Learning in Subjects with Schizotypy. 131 p., 2016.

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.