Bjoern Schelter

Bjoern Schelter is a Professor in the School of Natural and Computing Sciences at the University of Aberdeen, affiliated with the Institute for Complex Systems and Mathematical Biology (ICSMB). His research integrates mathematical modeling, nonlinear dynamics, and neuroscience to study brain connectivity and neurodegenerative disorders.

His research interests include computational neuroscience, nonlinear time series analysis, network inference, and mathematical biology, with a strong focus on Alzheimer’s disease, Parkinson’s disease, and epilepsy. He applies advanced statistical and dynamical systems methods to analyze neuroimaging and electrophysiological data, aiming to understand disease mechanisms and improve diagnostics.

The recent publications reveal a consistent trend in applying network-based and machine learning approaches to clinical neuroscience, particularly in modeling Alzheimer’s progression, evaluating tau-targeting therapies, and refining brain connectivity estimation. His work bridges theoretical modeling with translational applications in neurology.

• Significant contributions to clinical trials on hydromethylthionine for Alzheimer’s and frontotemporal dementia
• Development of network inference and adaptive testing methods
• Patents in neurological assessment technologies

He has advised and collaborated with numerous researchers in neuroscience and data science, contributing to both methodological advances and clinical insights. His work is supported by interdisciplinary collaborations across neurology, mathematics, and computational science.

Schelter is actively involved in research groups focused on complex systems and biomedical data analysis, contributing to both theoretical frameworks and real-world applications in neurodegenerative disease research.