Naomi Yamada is an Associate Director of Genomic Technologies with 11 years of experience applying machine learning and statistical methods to next-generation sequencing and multi-omics data. She specializes in integrating diverse DNA and RNA assays (ChIP-seq/ChIP-exo/CUT&RUN/ATAC-seq, ChIA-PET, WGS, RNA-seq, GRO-seq) and building robust analysis pipelines in Python and Java to support large-scale projects. At GSK she has coordinated cross-functional collaborations with the Broad Institute and led efforts to standardize transcriptomic analyses and ensure data integrity across complex perturbation studies. Her doctoral work produced novel mixture models for binding-event sub-class discovery and scalable QC/visualization frameworks for thousands of NGS datasets, reflecting a blend of methodological innovation and production-ready tooling. She mentors junior scientists and translates computational advances into actionable biological insights for drug discovery.
10 years of coding experience
10 years of employment as a software developer
Bioinformatics and Genomics Program minor in Statistics, Bioinformatics and Genomics Program minor in Statistics at Penn State University
Master's of Science Molecular Biosciences and Bioengineering, Master's of Science Molecular Biosciences and Bioengineering at University of Hawaii at Manoa
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