Lisa Kühnel

Wissenschaftliche Mitarbeiterin Programmbereich Wissensmanagment

Arbeitsschwerpunkte

• Text Mining
• Informations- und Datenmanagement
• Lehre

Curriculum Vitae

Ausbildung

• PhD-Student und Doktorandin an der Graduiertenschule Digital Infrastructure for the Life Sciences
  
  Thema der Promotion:
  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:

1. For biomedical literature, this work investigates the robustness of state-of-the-art NLP methods to allow the transfer from science to services.

2. For clinical data, the reliability of synthetic data generation algorithms based on a defined use case is examined.

Publikationen