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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

Dr. Clemens Kreutz

  • 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

Brombacher, Eva

  • PhD Student
  • Analysis of Omics Data
  • Benchmarking

Kohnert, Eva

  • PhD Student
  • Analysis of RNA-seq and Microbiome Data
  • Benchmarking

Litwin, Tim

  • PhD Student
  • Mathematical Modelling
  • Optimal Experimental Design

Menger, Jonatan

  • Masters Student
  • Analysis of Proteomics Data
  • Benchmarking
  • Deep Learning and Large Language Models

Meyring, Carlotta

  • PhD Student
  • Analysis of Microbiome, Proteomics and Sequencing Data
  • Benchmarking

Neubrand, Niklas

  • PhD Student
  • Mathematical Modelling
  • Reinforcement Learning

Rachel, Timo

  • Research Assistent
  • Mathematical Modelling

Contact/Location (klick on the image):

Location:
Stefan Meier Str. 26
79104 Freiburg