Stefan Hofmann is a leading expert in the treatment of anxiety disorders and depression using cognitive behavioural therapy which his research has crucially shaped and further developed by employing neurological methods.
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When mathematics meets AI, and optimisation, machine learning: mathematician Suvrit Sra’s fundamental works on methods of optimisation have made a seminal and incomparable contribution to the theoretical understanding and continued development of learning systems. TUM Munich wants to harness the Humboldt Professorship for Artificial Intelligence to expand its leading position in the field of artificial intelligence.
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The fundamental research conducted by computer scientist Stefanie Jegelka has led to a better understanding and optimisation of graph neural networks (GNNs) and made her name. In Munich, she is called upon to drive our theoretical understanding of machine learning and develop algorithms as well as trustworthy machine learning tools.
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At the Centre for Cognitive Science at TU Darmstadt, the adaptive and intelligent behaviour of humans and machines is a focus of research. Endowed with a Humboldt Professorship, Angela Yu is invited to assume a bridging function there between artificial intelligence and the neurosciences.
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Literary scholar Kate Rigby is a central figure in environmental humanities research. By appointing her as director of the new centre for Multidisciplinary Environmental Studies in the Humanities, the University of Cologne is looking to establish itself as a location for interdisciplinary global environmental research.
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Both as one of the pioneers of the young discipline of the philosophy and ethics of artificial intelligence and an intermediary between topics in the humanities and technology, Vincent C. Müller is invited to help develop a guiding vision for “humane AI” in Germany.
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No machine learning, no modern artificial intelligence (AI). But there are only a few people in the world who have the expertise to construct algorithms and teach AI systems how they should carry out certain tasks. That is why Holger Hoos puts his faith in automated machine learning, an approach to AI research which he has pioneered.
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Researchers have been trying to track down microorganisms that colonise human bodies and, especially, the intestines for many years. Amongst these microorganisms are viruses that specifically infect intestinal bacteria. Bas E. Dutilh from The Netherlands has made seminal contributions to exploring virus diversity and spearheads pioneering work in bioinformatics.
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To regenerate human nerve tissue is the dream of every medical researcher working on therapies for diseases like Parkinson’s or spinal injuries. The neurobiologist, Catherina Becker, could help to make this dream a reality. She explores mechanisms that give rise to new nerve cells and help heal damaged tissue.
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The mathematician, statistician and computer scientist Sayan Mukherjee has produced crucial work in the still young field of topological data analysis through which imaging methods can be improved and predictions made about diseases. In Leipzig, Mukherjee’s expertise in the evaluation of biological data is set to open up new avenues in precision medicine.
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