Data Science and Engineering develops methods for systematic analysis of large amounts of data and extracting structures, models and forecast of such data. This also includes the handling of large amounts of data that are generated with high bandwidth in distributed sensor environments. The science field is methodologically located at the interfaces between statistic data analysis, database-based data management, networked system and the methods of machine reading and artificial intelligence.
|Duration||Funding provided by||Topic|
|2022-2025||DFG||Simulation-based Optimization using Differentiable Agents (SODA)|
|2021-2025||DFG||Models for Cell Biological Systems (MaCE as part of the collaborative research center ELAINE)|
|2020-2023||EFRE||Improving diagnostics for rare genetic diseases via adaptive variant Prioritization on heterogeneous clinical data (IDEA-PRIO-UR)|
|2013-2023||DFG||Efficient Simulation of Cell-Biological Multi-Level Models (ESCeMMo)|