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Prof. Daniel R眉ckert has developed pioneering methods with which AI algorithms can generate particularly informative images from computer tomography or magnetic resonance imaging, analyze them and interpret them for improved medical diagnostics. Supported by the Alexander von Humboldt Foundation, TUM was able to bring the top scientist from Imperial College London to Munich in 2020.

Including Daniel R眉ckert, a total of 25 TUM researchers have been honored with Leibniz Prizes since 1986. TUM President Prof. Thomas F. Hofmann praised the prizewinner's outstanding work: 鈥淭he combination of artificial intelligence with medical applications is one of the most promising future topics of our time. And Prof. R眉ckert is one of the world's most excellent experts in this field. I am sure that as the future head of the TUM Center for Digital Medicine and Health, which is currently under construction at the TUM Clinic, he will raise digitally supported medicine to a new level of performance.鈥�

Daniel R眉ckert studied computer science at the Technical University of Berlin and received his doctorate from Imperial College London in 1997. He was Professor of Visual Information Processing and Dean of the Department of Computing. He has published numerous highly cited scientific articles, leads several large research projects and is the founder of a start-up that uses his research results for faster and more precise clinical trials of drugs.