- Analysing metabolomics data using machine learning based, graph-based and other statistical methods to identify putative biomarkers or to discover targets for drug repositioning in the context of AD.
- Development or application of novel methods in the context of metabolomics.
- Automated R packages for clinicians and biologists to analyse data themselves.
R package developmentMachine LearningTranscriptomics
at the Computational Health Center / ICB, Helmholtz Zentrum München
in Molecular and Cellular Biology at Ludwig-Maximilians-Universität, München
in Biosciences and Bioengineering at Indian Institute of Technology, Guwahati.