Machine Learning for Precision Neuropsychiatry (ML4PNP) Lab
ML4PNP is a research lab within the Computational Models of Brain and Behavior research unit, embedded in the Research Center for Cognitive Science and Artificial Intelligence at the Tilburg School of Humanities and Digital Sciences, Tilburg University. The lab focuses on developing open-source tools for analyzing large-scale neuroimaging data to advance precision medicine in neuropsychiatry, supporting early diagnosis, treatment selection, and outcome prediction at the level of individual patients. ML4PNP applies advanced machine learning techniques to MRI, EEG, and MEG data, with a particular emphasis on modeling individual variability in brain structure and function through normative modeling and reproducible analysis pipelines.
Highlights
Our Projects
Our projects bring together method development, data analysis, and clinical collaboration within funded research initiatives, translating computational ideas into sustained and coordinated research efforts.
Our Team
Our team brings together researchers at different career stages with expertise in machine learning, neuroimaging, and clinical neuroscience, working collaboratively in an interdisciplinary research environment.
Our Software
We develop and maintain open-source software that implements and benchmarks machine learning methods for neuroimaging data, supporting reproducible research and scalable analysis across studies and sites.
Our Publications
Our research focuses on developing and validating machine learning methods for neuroimaging, with results disseminated through peer-reviewed publications and open scientific outputs.
