Jessica Swoboda completed her bachelor's and master's degree in Medical Informatics at University of Applied Sciences and Arts Dortmund, the master's degree in cooperation with the University of Duisburg-Essen. During her studies, she supported different research projects as a research assistant and research associate. As a PhD student in the DFG Research Training Group WisPerMed, Jessica Swoboda has been researching predictive and patient-specific modeling of clinical outcomes (e.g., side effects) using patient similarity and machine learning since 2021.
- Clinical Decision Support Systems
- Data Models and Knowledge Representations
- Electronic Health Records
- Interoperability Standards
PhD candidate at the Research Training Group WisPerMed, 2021
University Duisburg-Essen
MSc in Medical Informatics, 2021
Fachhochschule Dortmund – University of Applied Sciences and Arts
BSc in Medical Informatics, 2017
Fachhochschule Dortmund – University of Applied Sciences and Arts