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
Placeholder — replace with a real research project (goal, methods, key findings).
Recent publications
- Moving beyond accuracy to overcome translational barriers in depression relapse prediction
- Childhood Maltreatment and Deviations From Normative Brain Structure: A Mega-Analysis of 3711 Individuals From the ENIGMA Major Depressive Disorder and ENIGMA Posttraumatic Stress Disorder Working Groups
- deepmriprep: voxel-based morphometry preprocessing via deep neural networks