Computational Neuropathology Lab

University of Wisconsin–Madison

We develop artificial intelligence and machine-learning methods for computational neuropathology. Our research integrates digital histopathology, whole-slide imaging, spatial transcriptomics, and multimodal data to improve disease quantification, biomarker discovery, and understanding of Alzheimer’s disease and related neurodegenerative disorders.

Research areas

• Computational and digital neuropathology
• Deep learning for whole-slide image analysis
• Spatial transcriptomics and multimodal data integration
• Interpretable AI and quantitative tissue phenotyping
• Alzheimer’s disease, Lewy body disease, and related dementias

Open science

We share models, datasets, and open-source tools that support transparent, reproducible biomedical research. Please consult each repository for documentation, licensing, intended use, and limitations.

Principal investigator

Jeffrey Nirschl, MD, PhD Physician-scientist and neuropathologist Assistant Professor of Pathology, University of Wisconsin–Madison

• Lab website
• Jeffrey Nirschl’s ORCID