Summary
Johanna Bayer is a computational psychiatry postdoctoral researcher with 8+ years of experience applying machine learning, Bayesian modelling, and large-scale neuroimaging to questions in mental health. She leads normative-model projects spanning ~50,000 brain scans to detect deviations associated with psychiatric conditions and to harmonize site effects across multi-site datasets, and has published a comprehensive review on the latter. Active in open science and community building, she serves as an editor at the Journal of Open Source Software, is incoming Chair of the OHBM Open Science SIG, and contributes to initiatives like BrainHack and OHBM. Johanna also bridges research and tooling as a software developer (MathWorks/PhysIO) and curriculum developer for NASA, combining rigorous computational methods with practical software and training efforts.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Ludwig-Maximilians-Universität München
The University of Melbourne
lab rotation at institute for software technic and theoretical informatics Neuronal Information Processing Group, lab rotation at institute for software technic and theoretical informatics Neuronal Information Processing Group at Technische Universität Berlin
Bachelor of Science - BS, Bachelor of Science - BS at Otto-Friedrich-Universität Bamberg
smart start fellow computational neuroscience, smart start fellow computational neuroscience at bccn
lab rotation translational neuromodelling unit, lab rotation translational neuromodelling unit at ETH Zürich