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Bipin Neupane

I am a Ph.D. candidate at Washington State University specializing in computational genomics, quantitative genetics, and plant breeding. My research combines large-scale genomic analysis, predictive modeling, and biological interpretation to advance trait discovery and crop improvement. I have assembled and analyzed complex wheat genomes, developed GWAS-informed genomic prediction methods, and built open-source computational tools such as WheatPost and neugene to support genomic analysis and candidate-gene discovery. With hands-on experience in Python, R, Linux/HPC, and statistical genetics, I want to apply computational and data-driven approaches to address challenges in plant breeding, genomics, and agricultural biotechnology.

Computational Genomics | Quantitative Genetics | Plant Breeding

Deven's Lab

Professional Skills

Quantitative genetics: GWAS, genomic selection, mixed models, population structure analysis
Genomics: SNP calling, whole genome assembly & annotation, VCF processing, SNP array genotyping, Hi-c analysis, haplotype resolved assembly, SV calling, collinearity analysis
Programming & Analysis: R, Python, Bash/Shell, AI-assisted coding, statistical analysis & visualization, reproducible analysis best practices, website
Reproducibility & HPC: Git, GitLab, Linux HPC (SLURM), Singularity, custom shell/R pipelines
Breeding: Multi-environment trial design, disease phenotyping, crossing, experimental design, field work, farm machinery operation
Molecular Biology: DNA extraction, PCR, electrophoresis, ABI genotyping, marker design and assisted selection