first author of Editor's Choice Articles
- 10+ years in bioinformatics & data analysis
- Multi-omics, NGS & clinical genomics projects
Hello, I'm Chathumadavi Ediriweera!
I am a bioinformatics scientist and computational biologist specializing in genomics, sex chromosome evolution, and translational medicine. I design and implement data‑driven workflows that turn noisy sequencing data into clear, actionable insights for research and medicine.
I help research teams and clinicians translate complex NGS and multi-omics datasets into robust, reproducible results; combining statistical rigor, scalable pipelines and clear communication,
01.
Genomic Biomarker and Target Discovery for Precision Medicine
I analyze large-scale genomic datasets to identify candidate biomarkers, drug-response linked variants, and mechanistic genomic features, providing ranked, well-rationalized targets that support precision-medicine programs and companion diagnostic development.
02.
NGS Pipeline Design for Clinical and Biotech Labs
I develop and optimize end-to-end WES/WGS/panel pipelines (QC, alignment, variant calling, and reporting) tailored to CLIA-like and research-grade environments, with a focus on reproducibility, validation, and regulatory-aware documentation.
03.
Clinical Variant Annotation and Reporting Support
I annotate and prioritize germline and somatic variants using current databases and gene models, and help translate variant lists into structured, clinician- and scientists-friendly reports that can feed into tumor boards, molecular pathology, or translational research teams.
Most Recent
Projects
Recent genomics and data science projects delivering production-ready pipelines, variant analyses, and genomic insights for clinical, biotech, and pharma applications.
