Research Assistant Knowledge Management
Key tasks and activities
- Text mining
- Information and data management
- Teaching
Profile
Educational background
- PhD student and doctoral researcher at graduate school Digital Infrastructure for the Life Sciences
Subject of the doctoral thesis:
From hidden data and information towards data-driven research
The enormous growth in electronic research data requires semantic interoperability and computational methods to generate information and knowledge. However, heterogeneity, restricted access, non-standardized and low-quality data hamper data-driven research in the (bio)medical area. This thesis investigates the application of computational methods to convert (bio)medical data and information into accessible, machine-readable formats with the aim to support researchers. Thereby, the focus lies on two data types:
- For biomedical literature, this work investigates the robustness of state-of-the-art NLP methods to allow the transfer from science to services.
- For clinical data, the reliability of synthetic data generation algorithms based on a defined use case is examined.
Publications
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