About
Prof. Gunnar Rätsch is a Full Professor in the Department of Computer Science at ETH Zürich and Deputy Head of the Institute for Machine Learning. His research focuses on developing machine learning methods for biomedical applications, including genomics, medical imaging, and clinical decision support systems. He specializes in integrating multi-omics data, spatial transcriptomics, and time-series analysis to address challenges in precision medicine and critical care. His work emphasizes ethical AI frameworks, algorithmic fairness, and robust clinical prediction models.
Key research areas include:
- Deep learning for medical imaging and histopathology
- Single-cell analysis and tumor profiling
- Reinforcement learning for treatment optimization in ICUs
- Multimodal data integration for clinical applications
Recent work highlights advancements in:
- Standardizing single-cell cytometry readouts for clinical use
- Developing foundation models for critical care time-series analysis
- Creating interpretable survival models for ICU patients
His contributions span foundational machine learning theory and applied healthcare technologies, with a focus on translational research to improve clinical outcomes. Current projects include the Tumor Profiler Study for multi-omic tumor analysis and ethical frameworks for clinical AI systems.
