I am an academic researcher and faculty member at the Department of Biosciences and Bioengineering, IIT Jammu, working at the intersection of computational biology, genomics, artificial intelligence, and precision medicine. My research integrates single-cell, spatial, and multi-omics technologies with advanced computational and machine learning approaches to understand complex biological systems and human diseases. I lead the Subhash Lab (https://www.subhashlab.in), where our work focuses on computational systems genomics, regulatory genomics, and AI-driven healthcare applications, with particular emphasis on female reproductive biology, gynecological diseases, infertility, pregnancy, cancer biology, and precision medicine. Our lab develops integrative analytical frameworks and computational tools to decode gene regulation, cellular heterogeneity, tumor microenvironments, and disease-associated molecular mechanisms. My scientific background spans regulatory genomics, non-coding RNA biology, epigenomics, cancer genomics, and integrative multi-omics. I have worked extensively with next-generation sequencing, long-read sequencing, single-cell transcriptomics, spatial omics, organoid systems, and computational modeling. Prior to IIT Jammu, I conducted research at institutions including the University of Gothenburg, Karolinska Institutet, and Cold Spring Harbor Laboratory. I am passionate about interdisciplinary research that bridges life sciences with mathematics, statistics, computer science, and high-performance computing. Alongside research, I actively contribute to teaching, mentoring, scientific collaborations, and capacity building in genomics and computational biology.

Research Interests: • Computational Systems Genomics • Single-Cell & Spatial Multi-Omics • Regulatory Genomics & Epigenetics • AI/ML for Healthcare & Precision Medicine • Cancer Genomics & Tumor Microenvironment • Female Reproductive Biology & Gynecological Diseases • Bioinformatics & Computational Tool Development • Integrative Multi-Omics Data Analysis • High-Performance Computing for Biomedical Research

I am always open to collaborations in computational genomics, translational biomedical research, AI-driven healthcare, and interdisciplinary data science.