Building computational biology tools at the intersection of single-cell genomics, systems immunology, and machine learning — independently, from Jaipur, India.
I am an independent computational researcher based in Jaipur, India, working at the intersection of single-cell transcriptomics, systems immunology, and machine learning. I hold an M.Sc. in Zoology (First Division, 72.68%) from the University of Rajasthan.
Without institutional affiliation, laboratory access, or external funding, I have authored four peer-reviewed preprints and deployed seven live bioinformatics tools — using only a personal NVIDIA RTX 4060 GPU and self-directed study. I believe rigorous computational biology can happen anywhere.
Seven-module QC framework with Harmony batch correction, GNN cell similarity, and UMAP/t-SNE for single-cell transcriptomics.
CNN-based pathogen variant impact predictor with gradient saliency visualisation for pangenomic data analysis.
ODE-based systems model of CD40–TRAF6–NF-κB signalling with CRISPR perturbation simulation in macrophages.
Epigenetic-aware CRISPR guide scoring and Cas variant fitness prediction combining CpG methylation, chromatin state, and Gradient Boosting.
Neurometabolic pathway enrichment and mHTT expression analysis pipeline for Huntington's Disease research.
All repositories, source code, and supplementary materials for all published research and tools.
Open to PhD opportunities, research collaborations, and conversations about computational biology. Currently applying to positions in Germany, Japan, Lithuania, Sweden, and Switzerland.