Gunnar Rätsch
贡纳尔·雷奇
PhD
Professor, Biomedical Informatics; Head, Biomedical Informatics Research Group生物医学信息学教授；生物医学信息学研究组负责人
👥Biography 个人简介
Gunnar Rätsch at ETH Zurich develops machine learning methods for cancer genomics, with expertise in RNA splicing prediction, cancer mutation analysis, and federated learning for privacy-preserving multi-institutional cancer data sharing and analysis.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
RNA Splicing Cancer Machine Learning
Developed deep learning models (SpliceAI and predecessors) to predict RNA splicing changes caused by cancer mutations, identifying cryptic splice variants as cancer drivers.
Privacy-Preserving Cancer Genomics
Pioneered federated and secure computation methods enabling multi-institutional cancer genome analysis without sharing patient-level data, advancing collaborative oncology research.
Cancer Mutation Impact Prediction
Built machine learning frameworks to prioritize cancer-relevant variants from whole-genome sequencing, integrating regulatory and splicing features.
Representative Works 代表性著作
Predicting splicing from primary sequence with deep learning
Cell (2019)
SpliceAI deep learning model achieving near-experimental accuracy in predicting RNA splicing and identifying disease-causing cryptic splice variants.
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Scientific Reports (2020)
Demonstrated federated learning for cancer genomics enabling collaborative model training while preserving patient data privacy.
Genome-wide detection of alternative splicing in expressed sequences using exon array data
Nucleic Acids Research (2008)
Early computational framework for genome-wide splicing analysis with widespread applications in cancer transcriptomics.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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