Hi! I am Mikkel Schöttner, PhD student at Connectomicslab, at the University of Lausanne.

You can find me:

or write a mail to mikkel.schottner@unil.ch!

Link to my CV.

Bio

Mikkel Schöttner is a third year PhD student in neuroscience at the Connectomics Lab, situated at University of Lausanne and the Lausanne University Hospital (UNIL/CHUV). He is supervised by Prof. Patric Hagmann.

His research interests include the prediction of behavioral traits from neuroimaging data, ontologies of the mind, graph signal processing, combining functional, structural, and diffusion MRI. Specifically, he is interested in predicting behavioral traits from neuroimaging data, using graph signal processing and machine learning. Furthermore he researches how behavior organizes, exploring the dimensional structure of different behavioral traits. He researches this in healthy participants and patients with psychosis. In his thesis, he combines all these topics to explore how they can advance our ability to use neuroimaging biomarkers of mental illness.

In a past project he explored the dimensional structure of the behavioral data in the Human Connectome Project, as described in this article.

Additionally, he likes to do hackathons, having contributed to Connectomemapper with a tutorial, and co-leading a project on interpreting the image quality metrics from MRIQC, which resulted in a conference abstract and a tutorial notebook.

Mikkel holds a Master of Science in Cognitive and Integrative Systems Neuroscience from the University of Marburg and a Bachelor of Science in Psychology from the University of Bremen.

Personal

I have a rotating array of hobbies, including fitness, hiking, biking, skiing, playing the guitar, singing in a choir, playing D&D, painting miniatures, playing video games, cooking, and more.