Affiliated Faculty
Gunnar Rätsch
Adjunct Professor
Bio
Gunnar Rätsch, Ph.D., is a scientist at the interface between methods research in machine learning & sequence analysis and relevant application areas in biology & medicine. From March until August 2023, he visits HPI.MS during his sabbatical from ETH Zurich, intending to engage in research discussions, exchange knowledge and ideas, and foster collaborative relationships - please do not hesitate to connect!
Dr. Rätsch has led the Biomedical Informatics Group (BMI Lab) at the Institute of Machine Learning at ETH Zurich since May 2016. The BMI Lab combines expertise in Machine Learning, Time Series, and Sequence Analysis methodology research with a focus on solving relevant biomedical challenges. The lab focuses on researching foundational challenges and research questions related to storing, analyzing, and searching extensive heterogeneous and temporal biomedical data. Therefore, his team collaborates with biologists and clinicians to create practical solutions for real-world problems, and the lab's members collectively tackle technical and applied research tasks. At the research group’s core is an active knowledge exchange in both directions between the methods and the application-driven researchers. One key application area is the analysis of heterogeneous data of cancer patients. For Genomics, his lab develops algorithms for storing, compressing, and searching extensive genomics datasets. Another critical area is the development of time series models of patient health states and early warning systems for intensive care units.
Gunnar Rätsch studied computer science and physics and obtained his Ph.D. in Machine Learning in 2001 at the National Institute for Data Analysis in Berlin and the University of Potsdam. He was a postdoctoral fellow at the Research School of Information Sciences and Engineering of the Australian National University in Canberra (Australia) and the Max Planck Institute for Biological Cybernetics in Tübingen (Germany). Between 2005 and 2011, he also led a research group at the Friedrich Miescher Laboratory of the Max Planck Society in Tübingen (Germany). Before joining ETH Zurich in 2016, he was an Associate Professor at Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College in New York City.
Bio
Gunnar Rätsch, Ph.D., is a scientist at the interface between methods research in machine learning & sequence analysis and relevant application areas in biology & medicine. From March until August 2023, he visits HPI.MS during his sabbatical from ETH Zurich, intending to engage in research discussions, exchange knowledge and ideas, and foster collaborative relationships - please do not hesitate to connect!
Dr. Rätsch has led the Biomedical Informatics Group (BMI Lab) at the Institute of Machine Learning at ETH Zurich since May 2016. The BMI Lab combines expertise in Machine Learning, Time Series, and Sequence Analysis methodology research with a focus on solving relevant biomedical challenges. The lab focuses on researching foundational challenges and research questions related to storing, analyzing, and searching extensive heterogeneous and temporal biomedical data. Therefore, his team collaborates with biologists and clinicians to create practical solutions for real-world problems, and the lab's members collectively tackle technical and applied research tasks. At the research group’s core is an active knowledge exchange in both directions between the methods and the application-driven researchers. One key application area is the analysis of heterogeneous data of cancer patients. For Genomics, his lab develops algorithms for storing, compressing, and searching extensive genomics datasets. Another critical area is the development of time series models of patient health states and early warning systems for intensive care units.
Gunnar Rätsch studied computer science and physics and obtained his Ph.D. in Machine Learning in 2001 at the National Institute for Data Analysis in Berlin and the University of Potsdam. He was a postdoctoral fellow at the Research School of Information Sciences and Engineering of the Australian National University in Canberra (Australia) and the Max Planck Institute for Biological Cybernetics in Tübingen (Germany). Between 2005 and 2011, he also led a research group at the Friedrich Miescher Laboratory of the Max Planck Society in Tübingen (Germany). Before joining ETH Zurich in 2016, he was an Associate Professor at Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College in New York City.