Postdoc
Niels Steensens Vej 2-4
2820 Gentofte
Denmark
Diabetes and related complications.
I Use machine learning, statistics and general computing skills to understand and predict diseases such as diabetic nephropathy. I have developed pipelines for efficient and accurate analysis of metabolomics data, including mapping of metabolites to global identifiers. This enables cross-study metabolomic comparison as well as pathway enrichment analysis which is increasingly required to make sense of the complex data associated with the expanding field of metabolomics.
- PROTON project: Combined analysis of plasma metabolomics and gut shotgun sequencing data to understand diabetic renal disease
- PROTON + PROFIL projects: Comparing metabolomics renal complication results from PROTON and PROFIL
- PROTON + PROFIL + 5 other renal studies from Joslin and FinnDiane: Comparison of diverse metabolomics data in relation to diabetic renal disease without sharing of data
- HypoBRAIN study: Investigation into the association of blood metabolites and hypoglycemia
ID: 53714803