NGS · Data Science · Microbial Ecology
Molecular biologist and data scientist with 10+ years of experience in next-generation sequencing, bioinformatics, and microbial ecology research. Currently pursuing a PhD at the University of Toledo.
A decade of experience across three complementary domains — integrating laboratory science, computational analysis, and ecological research.
End-to-end Next-Generation Sequencing expertise from library prep to data delivery. Experienced with Illumina and Nanopore platforms for amplicon, WES, and WGS workflows.
Statistical analysis and machine learning for biological data interpretation. Microbiome analysis, diversity metrics, and predictive modeling on HPC systems.
Exploring microbial communities through metabarcoding and ancient DNA analysis. From soil microbiomes to paleoenvironmental reconstructions.
Computational tools and analysis pipelines for NGS and microbiome research.
Comprehensive tutorial for processing metabarcoding datasets on HPC systems.
Workflow for scientific writing using Markdown with Zotero integration.
Beginner's guide to version control with Git and GitHub for research.
A decade of bridging laboratory science and computational analysis.
Peer-reviewed contributions to microbial ecology and ancient DNA research.
Thomas, S. P., Shanmuganathan, B., Krishnan, S., et al. (2018). Metabarcoding of PalEnDNA as an efficient tool to recover ancient bacterial diversity. Geomicrobiology Journal, 35(9), 798-803.
Interested in collaboration or have an opportunity? Let's connect.
I bring 10+ years of hands-on NGS experience — from amplicon library prep to Illumina/MGI troubleshooting — combined with computational skills in bioinformatics and data visualization.
Available for Field Application Scientist and Technical Support roles, NGS data analysis consulting, and R/Shiny training workshops.
