Computational Psychiatry · Medical Machine Learning
Nils R. Winter
University of Münster · Medical Machine Learning Lab
I am a postdoctoral researcher at the Medical Machine Learning Lab, Institute for Translational Psychiatry, University of Münster. My work sits at the intersection of machine learning, neuroimaging, and clinical psychiatry — with the goal of developing reliable predictive models and biomarkers for mental disorders such as major depression. I am committed to open science and contribute to open-source software for large-scale neuroimaging research.
Selected work
- Software
A high-level Python API for designing, optimizing, and evaluating machine learning pipelines — built for applied science, especially neuroimaging.
- Visualization
An interactive tutorial for evaluating the clinical utility of prediction models through decision curve analysis and net benefit.
- Research
Developing statistically valid methods to remove confounding effects — age, sex, head motion, and more — from machine-learning-based clinical prediction models.
Recent publications
- Multimodal Machine Learning–Based Prediction of Relapse in Major Depressive Disorder
- Connectome-wide dysconnectivity signature tracks clinical status in major depressive disorder
- Energy, Information, and the Limits of Neuropsychiatric Classification