I am a computational biologist and data scientist with a strong background in bioinformatics and epigenomics. My research focuses on developing probabilistic models to explore the influence of epigenetics on DNA damage in germline cells. With over five years of postdoctoral experience at leading institutes in the United States and Sweden, I have developed expertise in genomics, machine learning, and tool development. I hold a Ph.D. in Computational Biology and Bioinformatics from Jawaharlal Nehru University, where my dissertation centered on predictive modeling of replication sites in yeast genomes. My contributions include publishing in high-impact journals like Nature and developing several genomics data analysis packages. I am passionate about advancing our understanding of mutational processes in cancer and germline genomes through computational approaches.