Computational Biology • Multi-omics • Network Biology • ML
Hi, I'm Dipanka
I work on multi-omics systems biology, network-centric target discovery, and reproducible computational methods across neurodegeneration and cancer.
What I do
Core areas I work on and the kinds of problems I like solving.
Multi-omics analysis
Integration and interpretation across transcriptomics, proteomics, phosphoproteomics, metabolomics, and single-cell data.
Network biology
PPI and regulatory networks for target discovery, centrality-based prioritization, and pathway-level insights.
Modeling & ML
Mathematical models and machine learning for prediction, mechanism exploration, and robust validation.
Featured projects
A few highlighted projects. See the Projects page for the full list.
ppiDrugR
PPI-based drug target prioritization using STRING expansion, centrality analysis, and embedding-informed ranking.
SciNexus
An interactive platform for exploring scientific concepts, networks, and relationships, aimed at improving scientific reasoning and reproducibility through visual and computational tools.
RNA–Protein Discordance (Nextflow)
Reproducible workflow for paired RNA–protein analysis with QC, normalization, discordance scoring, and figures.
Publications
Auto-synced from ORCID. Full list, filters, and external links are available on the dedicated page.