Scholar
Mikkel Schöttner Sieler
Google Scholar ID: XQbbbysAAAAJ
University of Lausanne
Citations & Impact
Citations
126
H-index
5
i10-index
5
Publications
17
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published an article on the dimensional structure of behavioral data in the Human Connectome Project; contributed a tutorial to Connectomemapper; co-led a project on interpreting MRIQC image quality metrics, resulting in a conference abstract and a tutorial notebook.
Research Experience
- Conducts research at the Connectomics Lab, focusing on predicting behavioral traits from neuroimaging data and exploring the organization of behavior. Participated in the Human Connectome Project, researching the dimensional structure of behavioral data.
Education
- Master of Science in Cognitive and Integrative Systems Neuroscience from the University of Marburg; Bachelor of Science in Psychology from the University of Bremen; supervised by Prof. Patric Hagmann
Background
- PhD student in neuroscience, with research interests including the prediction of behavioral traits from neuroimaging data, ontologies of the mind, graph signal processing, and combining functional, structural, and diffusion MRI. Specifically, he is interested in predicting behavioral traits using graph signal processing and machine learning, and exploring how behavior organizes and its dimensional structure.
Miscellany
- Hobbies include fitness, hiking, biking, skiing, playing the guitar, singing in a choir, playing D&D, painting miniatures, playing video games, and cooking.
Co-authors