Dr. Anne Ruef

Psychologist, Post-doc Researcher


Research Focus

During my academic training, I have gained theoretical knowledge and practical experience in applied mathematics, physics, and experimental design. I was interested in applying this theoretical knowledge to human neurosciences, especially in the field of psychiatry. I worked on first episode psychosis, autism, and schizophrenia using structural Magnetic Resonance Imaging (MRI) to define sets of potential biomarkers that are useful for the evaluation of the psychiatric risk. During my PhD, I acquired expertise in multivariate statistical methods and unsupervised machine learning techniques in order to integrate neurocognitive and affective information to describe mood disorders patients’ clinical phenotypes. This knowledge was used to investigate the time course of uni- and bipolar disorders and the efficacy of pharmacological treatment. My knowledge in both multimodal MRI, behavioural data pre-processing, and statistical analysis was used to build a database within the framework of the Human Brain Project. I recently joined the PRONIA project at the Ludwig-Maximilian University for the next stage of my academic career. There, I will integrate my previous work and acquire novel machine learning techniques for individual prediction of psychosis.


Telephone: 089/440055757


Neurodiagnostic Applications

Hospital of the University of Munich
Clinic for Psychiatry and Psychotherapy

Nussbaumstraße 7
80336 München