Cris Taniguti is a genomics coordinator with a decade of experience applying bioinformatics and statistical genetics to plant breeding, currently leading genomics efforts for Breeding Insight at the University of Florida after a stint at Cornell. He combines hands-on pipeline development (GBS SNP calling, polyploid analysis) and visualization tools (R/Shiny) with practical breeding applications, having developed and optimized tools for complex genomes like sugarcane. Cris holds a PhD in Genetics and Plant Breeding and has a track record of translating research code into user-facing solutions for breeders, bridging computational rigor and field-focused needs. Based in Ithaca, he maintains an active online presence and portfolio of work that highlights both academic depth and production-ready bioinformatics engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Biotechnology, Bachelor's degree Biotechnology at UFSCar - Alumni
R Shiny app to perform the bioinformatics pipelines developed within Breeding Insight
Contributions:54 PRs, 110 pushes, 3 branches in 8 months
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