I am a dedicated Scientist-I at Garuda Therapeutics, where I specialize in computational biology and genomics within the R&D department. My work primarily revolves around developing and optimizing pipelines for variant calling using Strelka2 and GATK4 with Whole Genome Sequencing (WGS) to identify oncogenes in human induced pluripotent stem cells (iPSCs). This involves extensive work in the qualification and validation of these pipelines for regulatory filings, as well as leveraging databases such as ClinVar, COSMIC, and DepMap to craft targeted oncogenes panels for deep sequencing. I also apply Next-Generation Sequencing (NGS) for downstream sequencing to validate CRISPR knockouts, including the identification and validation of CRISPR off-targets using techniques like rhAMPseq and Induce-seq. Additionally, my expertise extends to single-cell sequencing analysis and understanding structural variants with Optical Genome Mapping (Bionano). Prior to joining Garuda Therapeutics, I completed a postdoctoral fellowship in computational biology at Pennsylvania State University, where I honed my skills in identifying climate-adaptive variants and conducted Genome-Wide Association Studies (GWAS) to uncover resistance genes against parasites and other stressors. My academic journey began at the University of Vermont, where I explored abiotic stress resistance genes using transcriptomics and developed a robust understanding of RNA-seq data analysis, from assembly to gene annotation. My work is driven by a passion for leveraging computational and genomics tools to address pressing challenges in biology and healthcare, combining my rigorous academic training with a practical, solution-oriented approach to research and development.