Method development and implementation

Medical Data Science

• Signal analysis (adaptive, time-varying, multivariate, linear and nonlinear)
• directed interaction analysis (linear, nonlinear, multivariate, time-varying, and frequency-selective)
• time-frequency analyses (Morlet wavelet transform, matched Gabor transform, adaptive signal decompositions)
• pattern recognition, classification
• Methods in genetic epidemiology and genomic statistics
• evaluation of novel study designs for stratified medicine
• Computational modeling of "Big data"/high-dimensional data in medicine.

Medical statistics and epidemiology

• Methods of evidence synthesis (meta-analyses)
• Imputation methods
• Methods for diagnostic studies
• Algorithms for discrete mixed distribution models

Medical Informatics

• Methods of medical knowledge acquisition and logic-based representation formats
• Development and application of biomedical ontologies
• Machine learning methods from medical data
• Privacy Preserving Computing
• Semantic Web based knowledge management
• Evidence-based education research