Community

In this section you find ways in which our lab contributes to a thriving science community.

In Tübingen

We are a part of the Department of Psychiatry at the University of Tübingen, which is one of the locations of the German Centre for Mental Health. Our group is a member of the Cluster of Excellence: Machine Learning in Science and an associated faculty of the IMPRS for intelligent systems and faculty at the IMPRS for mechanisms of mental function and dysfunction.

Talks, courses, workshops and conferences

Talks, courses, workshops and conferences are an important aspect for a thriving scientific community. Therefore, we regularily contribute to the organization of Workshop on Machine Learning in Clinical Neuroimaging at MICCAI, taught at the Computational Psychiatry Course at the ETH, Machine Learning for Neuroimaging at the University of Stanford, LMU’s computational psychiatry course and were invited speaker at Biological Psychiatry in the USA and at various machine learning conferences. We currently are in the local organisation commmitee for the Computational Psychiatry Conference in 2025, are part of the Scientific Programme Commitee for ECNP 2026 in Munich and are currently establishing a research network on machine learning for mental health at the same conference. We are also regularily invited for talks at national and international universities and collaborate with scientists in Europe and abroad. Reach out for questions or requests by email.

Education

The goal of our lab is to provide an environment where education is joy. While science is often an endeavour one must work on in solitude, we will provide opportunities for collaborative education whenever possible. We aim to educate competent and confident students who can complete difficult tasks for society. In our lab you will be encouraged to learn the skills and personal qualities necessary to achieve whatever goal you put your mind to. We welcome people from any background to sign up for this journey.

Mentorship

Finding the right mentor for a given task is an important step towards its execution and eventual completion. Competences change with time and topic. Thus, the mentor-student relationship is a dynamic process and not fixed. The ego, ideally, stays outside.