Plant genomics · bioinformatics · disease resistance · AI/ML · computer vision
My work combines QTL/GWAS, NGS analysis, functional genomics, molecular marker development, genome editing validation, and R/Python workflows to move from gene discovery to practical breeding decisions.
Research focus
Mapped, cloned, and functionally validated crop disease genes using high-resolution mapping, mutagenesis, expression analysis, transgenic complementation, and CRISPR/Cas9 validation.
Translate discovery into assays and decision support for selection, screening, and resistance deployment.
Build reproducible workflows that help research teams review, clean, analyze, and interpret phenotypic and genomic data.
Experience
Working on soybean cyst nematode resistance, dry bean host-pathogen genetics, dry bean rust, diagnostic molecular markers, and AI-assisted image phenotyping.
Built breeder-facing R Shiny and Python-supported QA/QC workflows for phenotypic data, automated reporting, and analysis-ready handoff.
Led disease-resistance genetics work across wheat and triticale using QTL mapping, GBS, high-resolution mapping, marker development, and functional genomics.
Skills
GBS, NGS QC, alignment, SNP discovery, variant calling, BLAST, haplotypes, annotation, QTL/GWAS.
CRISPR/Cas9 validation, qRT-PCR, Sanger sequencing, EMS/TILLING, disease assays, gene-expression analysis.
R, Python, SQL, R Shiny, dashboards, QA/QC, automated reports, visualization, reproducible scripting.
KASP, PACE, FAASA, molecular diagnostics, marker-assisted selection, phenotype-genotype integration.
Publications
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Talks & posters
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Recognition
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