Emanuel Ehmki, M.Sc. Chemie

Research Project

The development of new methods and models requires an excellent data basis. The quality of the data, its genesis, and the documentation of the processing sequence are of particular importance. Many chemical and biological processes can only be fully understood when a visualization of the structure is available. Therefore, it is essential for evidence-based decision making to link data sources from different experimental fields to facilitate new insights. The resulting better understanding can then be used to measure the performance of existing and new algorithms. In addition, high quality data sets are the foundation of high quality statistical models. Their predictive power correlates directly with the quality of the data sets used to train them.