News

We are excited to announce that data collection has started for our NWA-funded P600Norm project, “Normative Range of P600 Morphology as a Diagnostic and Prognostic Tool in Neuropsychiatric Disorders.”

We are happy to welcome Roos as a new Research Assistant in the Machine Learning for Precision Neuropsychiatry (ML4PNP) Lab at Tilburg University.

We were delighted to welcome Julio E. Villalón-Reina from the University of Southern California for a research visit and presentation at the ML4PNP Lab.

We are very happy to welcome Kateryna Skurativska as a new PhD candidate in the Machine Learning for Precision Neuropsychiatry (ML4PNP) Lab at Tilburg University.

We are happy to share our new review paper, “Beyond Seeing Only Illness in Abnormality: Clinical Challenges and Methodological Promises on the Road Towards Precision Psychiatry”, published in Psychiatry Research Communications.

We are pleased to announce the release of MEGaNorm v0.2.0, the latest version of our open-source Python package for normative modeling of magneto/electrophysiological brain data.

Members of the ML4PNP lab participated in the Organization for Human Brain Mapping (OHBM) 2026 Annual Meeting, where we presented our latest research on normative modeling and computational neuroimaging.

We are excited to share our latest publication in Communications Biology (Nature Portfolio):

We are pleased to welcome Melissa Zandstra to the ML4PNP lab as a postdoctoral researcher.

We are pleased to announce the launch of the ML4PNP lab website. The site provides an overview of our research, projects, software, publications, and team, and will serve as a central place for sharing updates, outputs, and opportunities related to our work.