Knowledge Discovery and Synthesis
The "Knowledge Discovery and Synthesis" group is investigating methods for identifying potentially complex patterns in data, and methods for synthesizing information from several sources. The spectrum of our work ranges from meta-analysis techniques for clinical trials to machine learning techniques, in particular artificial intelligence/deep learning, for integrating molecular and clinical data.
Head
- Machine Learning (esp. Deep Learning)
- Integration of Molecular and Clinical Data
Small Data Lab
- Deep Learning
- Generative Modeling
- Machine Learning (esp. Deep Learning)
- Machine Learning (esp. Deep Learning)
- Distributed Data
- Deep Generative Models
- Machine Learning (esp. Deep Learning)
- Mathematical and Computational Biology
- Machine Learning (esp. Deep Learning)
- Neural Differential Equations
- Generative Models
- Machine Learning (esp. Deep Learning)
- Feature Learning in High-Dimensional Molecular-Diagnostic Data
- Deep Learning
- Fusing Maths, Stats and AI models
- Machine Learning (insb. Deep Leraning)
- Deep Generative Models
- Machine Learning (esp. Deep Learning)
- Deep Learning
- ODE systems
AG Meta-Analysis
- Meta-analysis
- Network Meta-analysis
- Meta-Analysis
- Network Meta-Analysis
- Method development in meta-analysis
- Method development in network meta-analysis
- Sparse data
- Hierarchy of interventions
- Meta-analysis
- Network Meta-analysis
- Meta-analysis
- Network Meta-analysis
- Software Development
- Meta-analysis Methods
- Meta-Analysis
- Network Meta-Analysis
- Meta-Analysis of Diagnostic Accuracy Studies
- Meta-Analysis
- Software Development
AG STRATOS
- STRATOS
- Multivariable Model-Building in Regression Models
- Model Stability and Shrinkage
- Simulation Studies
Alumni
- Meta-Analysis
- Meta-Analysis of Diagnostic Accuracy Studies
Pawel Knap
- Deep Learning
- Two Photon Imaging
Sara Al-Rawi
- Deep Generative Models
- Analysis for Cellular and Molecular Data
Caroline Broichhagen
- Algorithms, (esp. in the Field of Deep Learning)
- Software Development and API Design
- Machine Learning (esp. Deep Learning)
- Resilience and Vulnerabilty
- Age-Period-Cohort Analysis