Moritz Gerster

Moritz Gerster is a doctoral researcher at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in the Department of Neurology, focusing on Deep Brain Stimulation (DBS), Parkinson's Disease, and neural dynamics. He combines computational neuroscience, signal processing, and machine learning to analyze neurophysiological data (MEG, EEG, LFP) and develop clinical models.

• PhD in Clinical Neuroscience (2020–present), Technische Universität Berlin
• Master of Science in Physics (2020), Technische Universität Berlin
• Bachelor of Science in Physics (2017), Technische Universität Berlin

His research spans epileptic seizure propagation, subthalamic nucleus activity in Parkinson's, and separation of periodic/aperiodic components in brain signals. Key contributions include methodological evaluations (FOOOF, IRASA) and network-based models for brain disorders.

Recent work highlights subthalamic broadband power as a biomarker for Parkinson's severity, levodopa effects on LFPs, and gamma activity correlations with clinical improvement. He actively develops open-source tools like MNE-Python and YASA.

His open-source contributions include:

• Enhancements to MNE-Python (PR #10656, #11245, #11502, #11640)
• Extended MNE-BIDS (PR #1103)
• Signal analysis methodology in YASA