Postdoctoral Researcher • Computational Biologist • Systems Biomedicine
I am Dr. Dipanka Tanu Sarmah, a postdoctoral researcher at RCSI (Ireland) working at the intersection of multi-omics, systems biology, and computational modeling, with a primary focus on Parkinson’s disease, and parallel work in cancer and immune-oncology.
My research centers on transforming complex, high-dimensional biological data into interpretable mechanisms, predictive models, and reproducible software.
- Spatiotemporal omics analysis (CosMx and GeoMx spatial transcriptomics, temporal single-cell and bulk trajectories)
- Multi-omics integration (RNA-seq, proteomics, phosphoproteomics, metabolomics)
- Reproducible pipeline development in R, Python, MATLAB, and Nextflow
- LLM and RAG-based workflows for ontology grouping, drug repurposing, and biological knowledge mining
- Mathematical and mechanistic modeling (tumor-immune dynamics, NRF2-KEAP1 signaling, Beclin1-mediated autophagy)
- Network science and graph analytics (PPI networks, centrality analysis, GNN-based inference)
🌐 Live research and portfolio hub
👉 https://personalwebsite-delta-olive.vercel.app
The website highlights:
- Research vision and scientific narrative
- Selected projects and open-source pipelines
- Systems biology and multi-omics focus
- Principles of reproducibility and open science
To build open-source, automation-ready systems biology and spatial modeling toolkits that accelerate translational research in Parkinson’s disease, cancer, and immune-oncology, while maintaining clarity, interpretability, and reproducibility.
"Open science is not just code. It is clarity, reproducibility, and narrative."
Dipanka