Research Interests
Standardizing metabolomics data processing, analysis and governance and enhancing research reproducibility in international Alzheimer's disease (AD) research consortia
Identifying and mapping metabolic pathway failures across the trajectory of AD using cross-sectional and longitudinal metabolomics data
Metabolic pathway-based patient stratification, identification of subgroup-specific molecular changes in, and molecularly-defined subtypes of AD
Cross-omics processing of big data and results integration in annotation, association and graph databases accessible through web interfaces:
SNiPA (snipa.org)
AD Atlas (adatlas.org)
Proteomics GWAS server (proteomics.gwas.eu)
Metabolomics GWAS server (gwas.eu)
Development of multi-omics- and graph-based machine learning and deep learning approaches for multi-omics-guided candidate target identification/prioritization and in silico drug repositioning