Machine Learning / Precision Brain Science
We analyze neuroimaging, clinical, psychometric, smartphone, and neurobiological data within a clinical framework to derive meaningful insights and improve patient outcomes in neurology and psychiatry.
Nys Tjade Siegel
Tjade is a dedicated researcher specializing in the application of advanced deep learning models to structural brain MRI data. With a robust…
Prof. Dr. Kerstin Ritter
Prof. Dr. Kerstin Ritter is a Full Professor of Machine Learning for Clinical Neuroscience at the University of Tübingen and is a Director at the…
Shreyash Garg
Shreyash is interested in understanding psychiatric disorders by leveraging machine learning methods to integrate data from various modalities. These…
Dr. Sam Gijsen
My work focuses on applying machine learning to advance understanding and prediction in medical neuroscience and psychiatry. To do so, I am…
Marina Lex
Marina is a Ph.D. student in the Department of Psychiatry and Psychotherapy at Charité – Universitätsmedizin Berlin and associated with the Department…
Roshan Rane
Roshan’s Ph.D. research lies at the crossroads of computer science and mental health research. He analyses large population neuroscience databases…
Dr. Marc-André Schulz
With a background in physics, Marc transitioned to machine learning and deep learning, specializing in the development and critical evaluation of…
Moritz Seiler
Moritz Seiler holds a degree in Business Administration (B.Sc.) from the University of Bayreuth and in Statistics (B.Sc.) from the Ludwig Maximilian…
Dr. Didem Stark
Didem Stark is interested in understanding bias and fairness in machine learning models used for clinical neuroimaging data. Using various fairness…
Marija Tochadse
Marija focuses on understanding the factors that contribute to treatment outcome in psychotherapy. For this, she uses structural and functional MRI…