Kreutz-Lab: Methods of Modelling and Bioinformatics in Systems Biomedicine (MSB)
We develop and optimize methods for mathematical modeling, biostatistical and bioinformatic analysis in systems biology and systems medicine.
We support our cooperation partners with access to the latest analysis methods including project-specific adaptations and extensions.
Head
- Development and improvement of computational and statistical methods
- Mathematical modelling
- High-throughput/omics data analyses
- Simulation- and benchmarking studies
- Deep Learning
- Statistical consulting and planning of preclinical studies
Team
- PhD Student
- Analysis of Omics Data
- Benchmarking
- PhD Student
- Analysis of RNA-seq and Microbiome Data
- Benchmarking
- PhD Student
- Mathematical Modelling
- Optimal Experimental Design
- Masters Student
- Analysis of Proteomics Data
- Benchmarking
- Deep Learning and Large Language Models
- PhD Student
- Analysis of Microbiome, Proteomics and Sequencing Data
- Benchmarking
- PhD Student
- Mathematical Modelling
- Reinforcement Learning
Rachel, Timo
- Research Assistent
- Mathematical Modelling