IDEAS PIs are selected for their motivation to bridge domain science and data science. The supervision model explicitly pairs expertise across institutions and disciplines.
Dr. Agnes Toth-Petroczy
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MPI
Research topics:
computational biology, machine learning, software development, molecular evolution, intrinsically disordered proteins, biomolecular condensates, transcription and translation errors
Prof. Dr. Anna Wienhard
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Faculty of Mathematics and Computer Science, Leipzig University
ScaDS.AI, Leipzig University
Research topics:
Lie groups and their discrete subgroups, positivity, geometric machine learning, topological data analysis
Prof. Dr. Gerik Scheuermann
Prof. Dr. Jana Schor
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Leipzig University
Research topics:
Bio-Data Science, Generative AI, Graph Neural Networks, Graph Databases as tool for data integration and analysis, Explainable AI and quantification of uncertainty
Jun.-Prof. Dr. Julia Westermayr
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ScaDS.AI
Research topics:
Theoretical (photo)chemistry, machine learning, generative modeling, data analysis, data science
Prof. Dr. Larysa Baraban
Prof. Dr. Manuel Burghardt
Dr. Michael Bussmann
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HZDR
ScaDS.AI
Research topics:
Laser-plasma interaction for applications in accelerator research, high-energy density physics and laboratory astrophysics. Development of the PIConGPU code for simulating large-scale plasma physics on many-core HPC architectures. Single-source, performance portable manycore software development with Alpaka, high data rate analysis in X-ray imaging with GPUs.
Prof. Dr. Miguel D. Mahecha
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ScaDS.AI
Research topics:
Land surface monitoring, machine learning for the environment, climate extreme impacts, big data analytics, tree mortality detection with AI, data cubes for earth system science
Prof. Dr. Steffen Löck
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Research topics:
Artificial intelligence for personalised cancer treatment (radiomics, genomics), modelling of side effects after proton therapy and of the relative biological effectiveness of protons, design and evaluation of clinical and preclinical trials.
