Scholar
Gunnar Rätsch
Google Scholar ID: tQuQ1FwAAAAJ
Professor, ETH Zürich
Citations & Impact
Citations
25,586
H-index
62
i10-index
162
Publications
20
Co-authors
123
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published a paper titled 'Data-Driven Discovery of Feature Groups in Clinical Time Series' which focuses on discovering feature groups within clinical time series data to improve deep learning model performance.
Research Experience
- Extensive experience in applying machine learning to biomedical problems, particularly in areas such as analyzing heterogeneous data of cancer patients, developing algorithms for storing and compressing genomic datasets, and creating time series models and early warning systems for intensive care units (ICUs).
Background
- Research interests include Machine Learning, Genomics, Computational Genomics, and Comprehensive Patient Representations. Specializes in developing techniques to exploit biomedical data and make it accessible to the research and medical community.
