Our PIs assemble different perspectives onto data analysis workflows and their application in the natural sciences, especially in computational physics, remote sensing, and the life sciences. In many subprojects, interdisciplinary teams investigate particular aspects of the respective scientific domain; other teams focus on purely computer science aspects of infrastructures for large-scale data analysis. area. Our 19 PIs come from eight research organizations located in Berlin / Brandenburg:
- Humboldt-Universität zu Berlin (coordinating university)
- Prof. Claudia Draxl, Solid-state Theory
- Prof. Lars Grunske, Software Engineering
- Prof. Patrick Hostert, Earth Observation Lab
- Prof. Christoph T. Koch, Structure Research and Electron Microscopy
- Prof. Ulf Leser, Knowledge Management in Bioinformatics (Coordinator)
- Prof. Henning Meyerhenke, Modeling and Analysis of Complex Systems
- Prof. Nicole Schweikardt, Logic in Computer Science
- Prof. Matthias Weidlich, Databases and Information Systems
- Charité – Universitätsmedizin Berlin
- Prof. Kerstin Ritter, Computational Neuroscience
- Freie Universität Berlin
- Prof. Knut Reinert, Algorithmic Bioinformatics
- Hasso-Plattner-Institut
- Prof. Tilmann Rabl, Data Engineering Systems
- Heinrich-Hertz-Institut Berlin
- Prof. Peter Eisert, Vision & Imaging Technologies
- Leibniz Institute for Immunotherapy (LIT)
- Prof. Birte Kehr, Genome Informatics
- Max Delbrück Center for Molecular Medicine
- Prof. Dagmar Kainmüller, Biomedical Image Analysis
- Technische Universität Berlin
- Prof. Odej Kao, Distributed and Operating Systems
- Prof. Volker Markl, Database Systems and Information Management
- Technische Universität Darmstadt
- Prof. Björn Scheuermann, Computer Engineering
- Universität Bern
- Prof. Timo Kehrer, Model-driven Software Development
- Zuse-Institut Berlin
- Prof. Alexander Reinefeld, Parallel and Distributed Computing