Rana Zohreh
I work at the intersection of computational transcriptomics, machine learning, and wet-lab molecular biology — building gene-regulatory and co-expression networks from RNA-seq and multi-omics data, and using interpretable models to connect regulation to phenotype.
I am a molecular geneticist working at the intersection of computational transcriptomics, machine learning, and wet-lab molecular biology. I build gene-regulatory, ceRNA, and co-expression networks from RNA-seq and public multi-omics data, and apply interpretable machine-learning models to link regulatory programs to cellular phenotype. My MSc research at Islamic Azad University (Central Tehran Branch) centered on population-stratified network analysis of prostate and testicular cancer.
I am now extending this work toward single-cell and spatial transcriptomics, connecting gene-regulatory programs to cell identity and function. While my background is rooted in cancer genomics, my interests span neurodegeneration, immunology, and gene regulation more broadly — wherever transcriptomic and network-level approaches can illuminate disease mechanisms. I am seeking a PhD position where I can continue combining computational modeling with experimental validation across these areas.
- Computational transcriptomics
- Gene-regulatory & ceRNA networks
- Machine learning
- Single-cell & spatial