Pranavi brings a strong expertise in microbial genomics, metagenomics, and multi-omics data analysis. She has vast hands-on expertise in end-to-end NGS workflows, including raw data quality control, genome assembly, taxonomic and functional annotation, and biological interpretation for whole-genome sequencing (WGS), 16S rRNA amplicon sequencing, and metagenomic, with proficiency in widely used bioinformatics pipelines and tools. Her academic and research training spans diverse applications – from antimicrobial resistance genomics in microbes to nutrigenomics-driven microbiome studies, reflecting a solid foundation in translating biological questions into computational insights.

At GENOTOME, Pranavi leads bioinformatics training and data analysis initiatives, guiding students and researchers in genomic data processing, quality control, taxonomic and functional profiling, and biological interpretation. She is committed to integrating computational biology with experimental genomics, enabling learners to develop practical, industry-relevant analytical skills. Known for her clarity in teaching and problem-solving approach, she contributes to advancing applied bioinformatics education and research within the organization.